In-depth Application and Industrial Transformation of Driving Training Simulators in Driving Schools

With the continuous increase in the number of motor vehicles in China, driving skills have transformed from an “optional skill” to an “essential ability”. While the driving training industry is developing on a large scale, it also faces many bottlenecks in the traditional teaching model. Problems such as long waiting times for driving practice, high risks of actual vehicle training, unbalanced teaching efficiency, and high venue and energy consumption costs not only affect the learning experience of students but also restrict the high-quality development of driving schools. Against the background of the in-depth integration of intelligent transportation and artificial intelligence technologies, driving training simulators, as a new type of intelligent teaching equipment, have gradually entered major driving schools. With their advantages of safety, efficiency, economy, and flexibility, they have restructured the driving training teaching process, promoting the driving training industry from the traditional “oral instruction and personal demonstration” model to an intelligent new era of “technology-led, green and intelligent”, and becoming an important supporting force for the transformation and upgrading of driving schools. This article will comprehensively explore the core technical characteristics of driving training simulators, in-depth interpret their specific application scenarios and practical value in driving school teaching, analyze the problems faced in the current application process, and look forward to their future development trends, providing reference for the intelligent and standardized development of the driving training industry.

I. Core Technical Characteristics and Equipment Classification of Driving Training Simulators

A driving training simulator is not a simple “video game”, but a professional equipment based on virtual reality (VR), multi-axis dynamic simulation, high-precision physical engine and other technologies, focusing on 1:1 reproduction of real driving scenarios to provide students with immersive driving training. Its core competitiveness comes from advanced technical support, which can accurately simulate the physical characteristics of vehicle operation, road conditions, and operational feedback, realizing an efficient teaching closed loop of “virtual training + actual vehicle reinforcement” and providing a new solution for driving school teaching.

(I) Core Technical Characteristics

The technical advantages of driving training simulators are concentrated in three aspects, providing a solid technical guarantee for driving school teaching. First, immersive scene reproduction technology. Through three-screen surround display systems, VR high-definition headsets and other equipment, combined with high-precision 3D modeling, it can reproduce real scenes such as urban roads, mountain bends, and examination venues at a 1:1 ratio. Some high-end equipment can achieve 2-centimeter-level precision in venue reproduction, allowing students to experience the driving environment immersively. At the same time, this technology can simulate complex weather conditions such as heavy rain, ice and snow, and fog, as well as dangerous scenarios such as tire blowouts, sudden obstacles, and vehicle rear-end collisions, filling the gap of high-risk scenarios that are difficult to cover in actual vehicle training, and allowing students to accumulate driving experience in complex road conditions in a safe environment. Second, precise operation feedback technology. The core components of the simulator, such as the steering wheel, accelerator, brake, and clutch, all adopt real vehicle accessories, combined with a six-axis motion platform and a force feedback system, which can real-time simulate the physical feedback during vehicle acceleration, steering, and braking, such as steering resistance, brake jitter, and road bumps, ensuring that the operation feel is highly consistent with real driving, helping students quickly establish a sense of vehicle control and shorten the adaptation cycle. Third, intelligent data analysis technology. The built-in AI teaching system can real-time record students’ operation data, including steering wheel angle, accelerator and brake pedal force, gear shifting timing, and number of wrong operations. Through big data analysis, it generates personalized learning reports, accurately locates students’ weak links, provides a basis for targeted guidance by coaches, realizes standardized teaching of “teaching students in accordance with their aptitude”, and breaks the traditional “one-size-fits-all” teaching model in driving training.

In addition, modern driving training simulators also have intelligent interaction functions, supporting voice guidance, animation demonstration, real-time error correction, etc., converting abstract driving skills into perceptible muscle memory and reducing the difficulty of learning for students. At the same time, the simulator can operate 24 hours a day, unaffected by weather, venue, airspace and other conditions, allowing students to flexibly book training time, effectively solving the pain point of “difficulty in waiting for driving practice” in traditional driving training and greatly improving teaching efficiency.

(II) Main Equipment Classification

Combined with the differences in teaching needs and budgets of driving schools, the current driving training simulators on the market are mainly divided into three categories, adapting to the development needs of driving schools of different sizes and providing a variety of choices for driving schools. First, the basic fixed type, adopting mechanical transmission + three-screen display + fixed chassis, with a unit price of about 10,000 to 50,000 yuan. Its core function is to meet students’ entry-level needs such as gear operation, starting and stopping, and basic subject practice. It is simple to operate and cost-effective, suitable for mass purchase by small and medium-sized driving schools, used for initial basic training of students to help novice students quickly familiarize themselves with basic vehicle operations. Second, the mid-range dynamic type, equipped with a six-degree-of-freedom motion platform, AI error correction system and 1:1 venue modeling, with a unit price of about 50,000 to 150,000 yuan. It can simulate complex road conditions and examination scenarios, support full-process training for Subject 2 and Subject 3, and automatically identify students’ wrong operations and provide voice prompts. It is the preferred equipment for mainstream driving schools, which can not only meet the needs of basic training but also achieve special reinforcement and examination simulation, balancing practicality and economy. Third, the high-end immersive type, integrating VR panorama, digital twin, gesture recognition and other technologies, with a unit price of about 200,000 to 500,000 yuan. Through 4.5K binocular resolution VR headsets and ultra-simulation dynamic platforms, it realizes a 360° panoramic driving experience, supports multi-person collaborative training and personalized scene customization, and is mainly used in demonstration driving schools and large chain driving schools to enhance brand competitiveness and create a high-end intelligent driving training experience.

Up to now, the penetration rate of driving simulators in domestic driving schools is about 35%, among which leading provinces such as Guangdong, Jiangsu, and Zhejiang have reached 50%-70%, while the central and western regions are still in the initial stage of popularization with significant room for sinking. With the advancement of intelligent driving training policies and the maturity of technology, the application of various simulators in driving schools will be further popularized, gradually forming a market pattern of “basic models as the foundation, mid-range models as the mainstream, and high-end models as the leader”.

II. Core Application Scenarios of Driving Training Simulators in Driving Schools

With the update of the “Motor Vehicle Driving Training Teaching Syllabus” by the Ministry of Transport, simulator teaching has changed from “elective” to “compulsory” with clear class hour requirements, marking that driving training simulators have officially become one of the core equipment for driving school teaching. At present, the application of simulators has covered the entire process of driving school teaching, playing an irreplaceable role in many core scenarios such as novice entry, special reinforcement, emergency training, and teaching management, completely changing the pain points of traditional driving training and promoting the transformation of driving training teaching towards standardization, efficiency, and safety.

(I) Novice Entry Basic Training to Lay a Solid Foundation for Driving

For novice students who have just come into contact with driving, the core pain points are unfamiliarity with vehicle operation, psychological tension, and easy operational errors. In actual vehicle training, there are risks such as scratches and stalling, which not only affect learning enthusiasm but also increase the teaching costs of driving schools. Driving training simulators provide a zero-risk entry training environment for novice students, becoming the core position for novice teaching in driving schools.

In novice entry training, simulators mainly focus on the teaching of basic vehicle operations, including core contents such as steering wheel holding, clutch half-linkage, gear shifting, starting and stopping, and brake control. The simulator adopts a progressive pass-through mode, gradually increasing the difficulty from basic operations to simple road conditions. Combined with voice guidance and animation demonstration, it converts abstract driving skills into perceptible muscle memory, helping students quickly familiarize themselves with the vehicle operation logic. For example, the simulator of Xinghua Banqiao Driving School can vividly decompose basic essentials such as steering wheel holding and clutch half-linkage through 10-minute 3D animations. Students can independently adjust the training rhythm and practice repeatedly for weak links until they master them proficiently. A student from Chongyang County, Hubei Province once said: “I used to wait in line for an hour and practice driving for only 5 minutes with an actual vehicle. Now I can practice with the simulator at any time, and it can correct errors repeatedly, making it much faster to get started.”

This zero-risk training mode not only reduces the psychological pressure of novice students but also shortens the entry adaptation cycle, enabling students to have solid basic operational capabilities before actual vehicle training, greatly improving the efficiency of actual vehicle training. At the same time, the simulator can avoid vehicle scratches, component damage and other problems caused by operational errors of novice students, reduce the vehicle maintenance costs of driving schools, and achieve dual benefits of teaching and cost control.

(II) Subject Special Reinforcement Training to Improve Examination Pass Rate

Subject 2 and Subject 3 are the core links of the driving test, as well as the key and difficult points of student training. In traditional actual vehicle training, limited by venue and coach energy, it is difficult for students to conduct intensive reinforcement for weak items, resulting in uneven examination pass rates. With the advantages of high scene reproduction and repeatable training, driving training simulators have become an important tool for subject special reinforcement, effectively improving students’ test-taking ability.

The simulator has built-in full-process training modules for Subject 2 and Subject 3, reproducing the examination markings, examination routes and evaluation standards at a 1:1 ratio. Students can independently choose training items, repeatedly polish difficult Subject 2 items such as reverse parking, parallel parking, hill-start parking and starting, curve driving, and right-angle turning, and also simulate the processes of Subject 3 such as light operation, gear shifting, lane changing and overtaking, and pulling over to stop, to familiarize themselves with the examination rhythm and evaluation requirements. For example, after introducing intelligent simulators, the pass rate of Subject 2 and Subject 3 for students of Wuxi Xinyu Driving School increased by about 15%; students of Yuhang Fangyuan Driving School accumulated experience in complex road conditions by simulating scenarios such as night driving and high-speed overtaking through simulators, and the pass rate of Subject 2 has increased to 90%.

In addition, the simulator also has precise recording and playback functions, which can accurately record operational details such as the error between the wheels and the sideline when students reverse park, the angle of each steering, and the gear shifting timing. After training, it generates short videos of operational playback, making error points such as line pressing, stalling, and incorrect light operation clear at a glance, helping students make targeted improvements. At the same time, the AI error correction system can real-time remind students of wrong operations, such as “too much steering wheel turning”, “too fast clutch lifting”, and “failure to use lights as required”, guiding students to correct them in a timely manner, form correct operational habits, and further improve training effects. Statistics from the Traffic Management Bureau of the Ministry of Public Security in 2023 show that the pass rate of Subject 2 for students using simulators increased by 19.7 percentage points, and the accuracy rate of complex road condition judgment increased by 32%, fully reflecting the advantages of simulators in special reinforcement training.

(III) Complex Scene Emergency Training to Strengthen Safety Awareness

In traditional actual vehicle training, due to safety risks and venue restrictions, it is difficult to carry out targeted training for severe weather such as heavy rain, ice and snow, and fog, as well as dangerous scenarios such as tire blowouts, sudden obstacles, vehicle rear-end collisions, and brake failures. As a result, after obtaining a driver’s license, students have insufficient emergency response capabilities when facing sudden situations, becoming potential hidden dangers of “road killers”. Driving training simulators can perfectly solve this pain point, allowing students to accumulate emergency response experience in a zero-risk environment and strengthen safety driving awareness by simulating various complex scenarios and dangerous situations.

The intelligent simulation driving classroom of Longyang District Yuchang Driving School can realize “one-click switching” of scenarios such as rainy day skidding, night driving, mountain bends, and high-speed tire blowouts. Students can experience changes in braking distance on low-adhesion roads indoors and practice emergency operations such as emergency braking and direction correction; the simulator in Chongyang County can simulate complex scenarios such as icy and snowy roads, heavy rain, and sudden pedestrians crossing the road, helping students master driving skills under different road conditions and establish the concept of “defensive driving”. According to the “Motor Vehicle Driving Training Teaching Syllabus” released by the Ministry of Transport in 2023, simulators can cover 76% of basic driving skill training scenarios, including 100% coverage of extreme weather driving scenarios and 92% coverage of dangerous situation handling scenarios, far exceeding the coverage of actual vehicle training.

Data shows that drivers who have received simulated emergency training have significantly reduced reaction speed and error rate on actual roads, and their safety driving awareness has also been significantly improved. This training mode not only fills the gap in actual vehicle training but also helps students understand the importance of safe driving from the root, reduces the occurrence of traffic accidents, and achieves the teaching goal of “training is safety education”.

(IV) Personalized Teaching and Management to Optimize Teaching Efficiency

The intelligent data analysis function of driving training simulators has broken the traditional “one-size-fits-all” teaching model in driving training, realized personalized teaching and refined management, and greatly improved the teaching efficiency and management level of driving schools. On the one hand, the simulator can real-time record students’ training data, including training duration, operation accuracy, type and number of wrong operations, etc. Through big data analysis, it generates personalized learning reports, accurately locating students’ weak links. For example, some students are good at straight-line driving but frequently press the line when reversing parking, and some students are familiar with Subject 2 but prone to mistakes in Subject 3 light operation. Coaches can carry out targeted guidance according to the reports, avoid ineffective training, and realize “teaching students in accordance with their aptitude”.

On the other hand, the teaching management system of the simulator can realize real-time monitoring and statistics of students’ training situation. Driving school managers can check students’ training progress and class hour completion through the background, reasonably arrange actual vehicle training plans, and optimize the allocation of teaching resources. At the same time, coaches can guide multiple students at the same time through the computer terminal, and carry out targeted guidance based on the student data reports generated by the system, greatly improving teaching efficiency. For example, after introducing simulators, the pilot driving school in Zhenhai District, Ningbo City adopted the model of “intelligent driving simulator combined with AI robot coach”, where one coach can guide five students at the same time, the monthly training capacity of a single vehicle increased by 10%, and “zero complaints” were achieved, which was well received by young college students and other groups.

In addition, the simulator also supports class hour recording and uploading functions, which can be directly connected to the driving training supervision platform, ensuring that students’ training hours are true and effective, meeting industry supervision requirements, avoiding problems such as traditional class hour fraud, and standardizing the teaching management process of driving schools.

III. Value Embodiment of Driving Training Simulators in Driving School Applications

The wide application of driving training simulators in driving schools has not only changed the traditional driving training teaching model but also brought significant value to driving schools, students, and the industry, promoting the driving training industry towards high-quality, green, and intelligent development, and achieving a win-win situation for all parties.

(I) For Driving Schools: Reduce Costs and Increase Efficiency, Enhance Core Competitiveness

For driving schools, the most direct value of the application of driving training simulators is reflected in cost reduction, efficiency improvement, and competitiveness enhancement. Traditional actual vehicle training consumes a lot of fuel, and the costs of vehicle wear and tear, venue occupation, and coach labor are high. However, simulators do not require fuel consumption, can reduce vehicle wear and tear and venue pressure, and greatly reduce the operating costs of driving schools. According to the 2024 research data of the Zhejiang Driving Training Association, after adopting simulators, the fuel consumption per student of driving schools decreased from 680 yuan to 120 yuan, a decrease of 82.4%; vehicle loss decreased from 450 yuan to 80 yuan, a decrease of 82.2%; venue rent decreased from 320 yuan to 150 yuan, a decrease of 53.1%, and the comprehensive training cost of a single driving school can be reduced by 30%-50%.

At the same time, the simulator can operate 24 hours a day, allowing students to flexibly book training time, effectively solving the problem of “difficulty in waiting for driving practice”, improving student satisfaction, and reducing student loss. In addition, the application of simulators can improve the level of teaching standardization, ensure that each student receives standardized and systematic training, improve the examination pass rate, and establish a good reputation for the driving school. Against the background of the advancement of intelligent driving training policies, driving schools equipped with simulators are more able to meet industry supervision requirements, enhance brand competitiveness, and gain an advantage in the fierce market competition. For example, Yuhang Fangyuan Driving School in Zhejiang Province and Longyang District Yuchang Driving School in Yunnan Province have formed a teaching model of “simulation first, actual vehicle reinforcement” by building immersive simulation driving classrooms, attracting a large number of students to register and significantly improving market reputation.

In addition, simulators also have environmental protection advantages. Each simulator can reduce carbon dioxide emissions by about 4.2 tons per year. According to the current pilot scale, the annual emission reduction is equivalent to planting 68,000 trees, which is in line with the policy orientation of green driving training, helping driving schools achieve green development and enhance their social image.

(II) For Students: Improve Experience and Master Driving Skills Efficiently

For students, the application of driving training simulators has completely changed the pain points of traditional driving learning, improving the learning experience and learning efficiency. First, it reduces learning pressure. The simulator provides a zero-risk training environment. Students do not need to worry about scratches, fines and other problems caused by operational errors, can learn in a relaxed atmosphere, and effectively alleviate the tension of novice students, especially suitable for introverted and easily nervous students. A student from Zhenhai District, Ningbo City said: “I am inherently introverted, and I feel more nervous when driving with a coach sitting beside me. The simulator companion can relieve a lot of pressure, and it can provide precise guidance and error correction, making it more efficient.”

Second, it improves learning efficiency. Students can independently adjust the training rhythm and practice repeatedly for weak links, avoiding the problems of waiting in line and ineffective training in actual vehicle training, and greatly shortening the driving learning cycle. In traditional actual vehicle training, students often need to wait in line for 1-2 hours, with actual driving practice time of only 10-15 minutes, while the simulator can realize on-demand practice, allowing every minute of students’ training to exert maximum value. Third, it improves driving skills and safety awareness. The simulator can not only help students master basic driving skills and test-taking skills but also improve students’ emergency response capabilities and safety driving awareness through complex scene emergency training, enabling students to quickly adapt to actual road driving after obtaining a driver’s license and truly achieve “being able to drive, driving well, and driving safely”.

(III) For the Industry: Promote Standardized and Intelligent Transformation

For the driving training industry, the application of driving training simulators is an important opportunity for industrial transformation and upgrading, promoting the driving training industry from “extensive teaching” to “refined and intelligent teaching”. The traditional driving training industry has problems such as inconsistent teaching standards, uneven coach levels, and class hour fraud, which affect the overall image and development quality of the industry. The application of simulators has realized the standardization of the teaching process. Through the AI teaching system and data analysis functions, it ensures that each student receives standardized and systematic training, improving the teaching quality of the industry.

At the same time, the application of simulators has promoted the technological upgrading of the driving training industry, promoted the in-depth integration of new technologies such as virtual reality, artificial intelligence, and big data with the driving training industry, spawned new driving training models such as “intelligent driving schools” and “intelligent coaches”, and enriched the service forms of the industry. With the increase in simulator penetration rate, the driving training industry will gradually form a standardized teaching model of “virtual training + actual vehicle reinforcement”, standardize the industry order, and improve the overall competitiveness of the industry. According to industry forecasts, by 2025, the penetration rate of driving simulators in domestic driving schools will exceed 60%, promoting the driving training industry into a new intelligent development stage.

IV. Problems and Solutions in the Application of Driving Training Simulators in Driving Schools

Although the application of driving training simulators in driving schools has achieved remarkable results and shown a trend of rapid popularization, in the actual application process, it still faces problems such as uneven equipment quality, irregular teaching application, insufficient coach adaptation capacity, and deviations in student cognition. These problems restrict the full play of the application value of simulators and affect the process of intelligent transformation of the driving training industry. To address these problems, targeted solutions need to be taken to promote the standardized and in-depth application of simulators in driving schools.

(I) Main Problems Faced

First, the equipment quality is uneven, and the application effect varies greatly. At present, there are many brands of driving training simulators on the market, with prices ranging from tens of thousands to hundreds of thousands of yuan. To reduce costs, some small and medium-sized manufacturers produce simulators with low scene reproduction, inaccurate operation feedback, poor system stability and other problems, which cannot achieve real driving simulation effects, not only affecting the learning experience of students but also possibly misleading students to form wrong operating habits. In addition, to save costs, some driving schools choose low-cost basic simulators, which lack functions such as special training and emergency simulation, making it difficult to meet the diverse training needs of students.

Second, the teaching application is irregular, and there is a lack of a scientific teaching system. After introducing simulators, some driving schools lack systematic teaching planning, only using them as a tool to “accumulate class hours”, without formulating targeted training plans combined with students’ learning progress and weak links, leading to the application of simulators being a mere formality and failing to give play to their core values of special reinforcement and emergency training. At the same time, some driving schools have not established a collaborative teaching model of “simulation training + actual vehicle training”, and the simulation training is disconnected from the actual vehicle training, making it impossible for students to effectively transfer the skills mastered on the simulator to actual vehicle driving, affecting the training effect.

Third, the coach adaptation capacity is insufficient, making it difficult to give play to the technical advantages of simulators. The application of simulators requires coaches to have certain intelligent equipment operation capabilities and data analysis capabilities, and be able to carry out targeted guidance according to the student data reports generated by the simulator. However, at present, some coaches in driving schools are older, have low acceptance and operation capabilities of intelligent equipment, cannot proficiently use the teaching functions of the simulator, and even have insufficient understanding of the technical advantages of the simulator, still using traditional teaching methods, leading to the failure to give full play to the technical advantages of the simulator.

Fourth, there is a deviation in student cognition, and learning enthusiasm is insufficient. Some students think that the simulator is “not as real as the actual vehicle”, feel that simulation training is meaningless, lack learning enthusiasm, and even perfunctory, leading to poor simulation training effects. In addition, some students regard the simulator as a “game” and do not operate it seriously during training, failing to form correct operating habits, which affects the subsequent actual vehicle training and examination pass rate.

(II) Solutions

First, standardize the equipment market and improve equipment quality. Relevant government departments should strengthen the supervision of the driving training simulator market, improve industry standards, clarify the technical parameters, scene reproduction, operation feedback accuracy and other requirements of simulators, and eliminate unqualified products. At the same time, when purchasing simulators, driving schools should choose equipment with good brand reputation, mature technology and complete functions according to their own teaching needs and budgets, avoid blindly pursuing low prices, and ensure the application effect of simulators. In addition, equipment manufacturers should strengthen technological research and development, continuously improve the scene reproduction, operation feedback accuracy and system stability of simulators, and develop more functions suitable for driving school teaching needs, such as personalized scene customization and multi-vehicle adaptation.

Second, establish a scientific teaching system and standardize teaching application. Driving schools should combine the technical advantages of simulators and the learning rules of students to establish a collaborative teaching model of “simulation training + actual vehicle training”, clarify the ratio and connection process between simulation training and actual vehicle training, so that students can master basic skills and emergency response capabilities on the simulator before conducting actual vehicle reinforcement training to achieve effective skill transfer. At the same time, driving schools should formulate targeted simulator training plans, arrange different training contents and durations according to students’ learning progress and weak links, give full play to the special reinforcement and emergency training functions of simulators, and avoid the application of simulators being a mere formality. In addition, driving schools should strengthen the management of simulator training, establish student training files, and real-time track students’ training situation to ensure training effects.

Third, strengthen coach training and improve adaptation capacity. Driving schools should regularly organize coaches to carry out relevant training on intelligent equipment operation and data analysis, help coaches proficiently master the teaching functions of simulators, and improve their intelligent teaching capabilities. At the same time, coaches should be guided to change their teaching concepts, recognize the core value of simulators in driving training, and combine simulators with traditional teaching methods to carry out personalized and refined teaching. In addition, professional intelligent teaching talents can be introduced to provide technical guidance for coaches, promote the intelligent transformation of the coach team, and give full play to the technical advantages of simulators.

Fourth, strengthen student guidance and improve learning enthusiasm. Driving schools should popularize the technical advantages and application value of simulators to students through publicity and explanation, case demonstration, etc., let students recognize the importance of simulation training for improving driving skills and ensuring driving safety, and change the deviation in students’ cognition. At the same time, interactive links such as checkpoints, points, and rankings can be set in simulator training to increase the fun of training, improve students’ learning enthusiasm, guide students to seriously complete simulation training, and form correct operating habits. In addition, coaches should strengthen the guidance and supervision of students’ simulation training, timely correct students’ wrong operations, encourage students to practice repeatedly for weak links, and improve training effects.

V. Development Trends of Driving Training Simulators in Driving School Applications

With the continuous progress of intelligent transportation, artificial intelligence, virtual reality and other technologies, as well as the continuous transformation and upgrading of the driving training industry, the application of driving training simulators in driving schools will show the development trends of intelligence, integration, sceneization, and popularization. Its application value will be further improved, promoting the driving training industry into a new intelligent development stage.

First, the level of intelligence will continue to improve. In the future, driving training simulators will further integrate artificial intelligence, big data and other technologies to achieve more accurate operation feedback, more intelligent teaching guidance and more personalized training plans. For example, AI intelligent coaches will realize real-time analysis and precise error correction of students’ operations, automatically adjust training difficulty and content according to students’ learning habits and weak links, and achieve personalized teaching of “teaching students in accordance with their aptitude”; big data analysis technology will further tap students’ training data, provide more accurate teaching management suggestions for driving schools, and optimize the allocation of teaching resources. At the same time, simulators will gradually realize functions such as autonomous learning and adaptive adjustment, further improving teaching efficiency and training effects.

Second, the trend of in-depth integration of multiple technologies is obvious. Driving training simulators will be deeply integrated with new technologies such as VR/AR, digital twin, and 5G to create a more immersive driving training experience. For example, VR panoramic technology will further improve the scene reproduction, allowing students to obtain a 360° panoramic driving experience and more truly feel complex road conditions and dangerous scenarios; digital twin technology will build digital twin models of real examination venues and urban roads, realizing real-time update and precise simulation of training scenarios; 5G technology will realize remote collaboration of multiple simulators, carry out multi-person collaborative training, simulated formation driving and other scenarios, and improve students’ collaborative driving capabilities. In addition, simulators will also be integrated with new energy vehicle technology to adapt to the operational characteristics of new energy vehicles and meet the needs of new energy vehicle driving training.

Third, application scenarios are constantly expanding and refining. In the future, the application scenarios of driving training simulators will be further expanded, not only covering core scenarios such as basic training, special reinforcement, and emergency training, but also extending to segmented fields such as new energy vehicle driving training, truck driving training, and special vehicle driving training to meet the training needs of different types of students. At the same time, for students of different ages and foundations, simulators will launch more targeted training plans, such as simplified operation interfaces and training content for elderly students, and progressive training plans for novice students, further improving the accuracy and effectiveness of training. In addition, simulators will also be used for continuing education and safety training of drivers, helping drivers who have obtained a driver’s license improve their emergency response capabilities and safety driving awareness, and reduce the occurrence of traffic accidents.

Fourth, the degree of popularization is constantly improving. With the continuous advancement of intelligent driving training policies, the gradual reduction of equipment costs and the maturity of technology, driving training simulators will be gradually popularized to various driving schools, including small and medium-sized driving schools and driving schools in central and western regions, realizing “everyone can enjoy intelligent driving training services”. At the same time, the price of simulators will gradually decrease, and the cost performance will continue to improve, making it affordable for more driving schools and further expanding the scope of application. It is estimated that by 2025, the penetration rate of driving simulators in domestic driving schools will exceed 60%, forming an industry pattern of “no driving school without simulators” and promoting the comprehensive intelligent transformation of the driving training industry.

Fifth, industry standards are gradually improved. In the future, relevant government departments will further improve the industry standards for driving training simulators, clarify the technical parameters, teaching specifications, class hour recognition and other requirements of equipment, standardize the industry order, and improve the overall quality of the industry. At the same time, industry associations will play a bridge role, promote cooperation between driving schools, equipment manufacturers and scientific research institutions, promote technological innovation and teaching model innovation, and promote the driving training industry towards standardization, high-quality and green development.

In summary, as the core equipment of intelligent driving training, driving training simulators, with their advantages of safety, efficiency, economy and flexibility, have been gradually popularized in driving schools, completely changing the traditional driving training teaching model and bringing significant value to driving schools, students and the industry. Although their current application faces challenges such as uneven equipment quality, irregular teaching application, and insufficient coach adaptation capacity, with the continuous progress of technology, the gradual improvement of industry standards and the efforts of all parties, these problems will be gradually solved. In the future, driving training simulators will develop towards intelligence, integration, sceneization and popularization, further deepen their application in driving schools, promote the comprehensive transformation and upgrading of the driving training industry, provide strong support for the safe and healthy development of China’s transportation industry, and allow more people to master driving skills efficiently and safely and enjoy a convenient travel life.