Driving simulator

Driving simulators are used for entertainment as well as in training of driver's education courses taught in educational institutions and private businesses. They are also used for research purposes in the area of human factors and medical research, to monitor driver behavior, performance, and attention and in the car industry to design and evaluate new vehicles or new advanced driver assistance systems.

This article is about the professional simulators. For the video game genre, see Sim racing.
Hindustan Simulators Simulation Training System for Car Driving includes all necessary elements to learn how to drive, from the beginning (initial driving training) to the end (advanced driving training).
Driving Simulator developed by (University of Valencia) Spain. Used in evaluation of drivers, roads, IVIS devices and other areas.
Advanced Driving Simulators used for training & assessment of bus drivers on fuel-efficient driving
Combined bus and truck simulator, for professional driver training.
Portable in-vehicle driving simulator

Training

Driving simulators are being increasingly used for training drivers all over the world. Research has shown[1][2] that driving simulators are proven to be excellent practical and effective educational tools to impart safe driving training techniques for all drivers. Versions exist for cars, trucks, buses, etc. Due to safety issues, reduced operational costs, less stress during lessons for drivers and instructors and shorter learning times, truck simulators are increasingly used by training schools and fleets.[3]

Automobile training simulator for better knowledge of driver's behaviour and understanding of road rules.

Uses
  • Novice driver training and testing
  • Professional driver training and testing
  • Training in critical driving conditions
  • Testing the effects of impairment on driver performance
  • Analysis of the driver behaviours
  • Analysis of driver responses
  • Evaluating user performances in different conditions (handling of controls)
  • Assessing fitness to drive for aging drivers
  • Testing future in-vehicle technologies on drivers or passengers (Human -Machine Interface)

Types
Example of truck simulator for Commercial Driver License (CDL) training, fuel efficiency training, defensive driving, skid control, rollover prevention and driver assessment at the Road Transport Training Centre (CFTR) in Mirabel, Canada.
  • Ambulance simulator: Used to train and assess ambulance drivers in basic and advanced vehicle control skills as well as how to respond to emergencies and interact with other emergency responders.
  • Car simulator: Used to train and test novice drivers in all the skills required to pass a driver's license road test as well as hazard perception and crash risk mitigation.
  • Modular-design simulator: Interchangeable vehicle cabins or cockpits can be configured for use as tractor/trailer trucks, dump trucks and other construction vehicles, airport-operated vehicles, emergency response and police pursuit vehicles, buses, subway trains, passenger vehicles, and heavy equipment such as cranes.
  • Multi-station driving simulator: This type of simulator enables one instructor to train more drivers at the same time thus saving time and reducing costs... These systems are equipped with instructor stations connected to control several driving simulators.
  • Truck simulator: Used to train and assess novice and experienced truck drivers in skills ranging from basic control maneuvers, e.g. shifting and backing, to advanced skills, e.g. fuel efficiency, rollover prevention, defensive driving.
  • Bus simulator: is used to train bus drivers on route familiarisation, safe driving techniques, fuel efficiency techniques. It can be used for training drivers on a variety of bus models and on different types of gear transmissions.
  • Physical simulator: Large scale simulators employ Stewart platforms and xy tables to physically move the driver around in 6-axis space, simulating acceleration, braking and centripetal forces, similar to physical flight simulators.

Entertainment
Main article: Sim racing

Advances in processing power have led to more realistic simulators in recent years, beginning with Papyrus Design Group's groundbreaking Grand Prix Legends for the PC, released in 1998.

Occasionally, a racing game or driving simulator will also include an attachable steering wheel that can be used to play the game in place of a controller. The wheel, which is usually plastic, may also include pedals to add to the game's reality. These wheels are usually used only for computer games.

In addition to the myriad commercial releases there is a bustling community of amateur coders working on closed and open source free simulators. Some of the major features popular with fans of the genre are online racing, realism and diversity of cars and tracks.

Dutch simulator designer Cruden offers private use car simulators for personal entertainment.[4] Cruden car simulator is not connected to a computer game, system uses the same software that is designed for Formula 1 teams and engineers to improve their skills and their vehicles. The simulator provides different types of settings. Such as; different cars, terrains or any other desired settings. Also, telemetry analyze is available as an optional feature.

Research

Driving simulators are used at research facilities for many purposes. The Center for Addiction and Mental Health (CAMH) in Toronto [5] and McGill University [6] used the Virage Simulation VS500M driving simulator to study and measure the effects of cannabis on driving. Many vehicle manufacturers operate driving simulators, e.g. BMW, Ford, Renault. Many universities also operate simulators for research. In addition to studying driver training issues, driving simulators allow researchers to study driver behavior under conditions in which it would be illegal and/or unethical to place drivers. For instance, studies of driver distraction would be dangerous and unethical (because of the inability to obtain informed consent from other drivers) to do on the road.

With the increasing use of various in-vehicle information systems (IVIS) such as satellite navigation systems, cell phones, DVD players and e-mail systems, simulators are playing an important rule in assessing the safety and utility of such devices.

Simulators are also used in psychometric testing, driver behaviour mapping, analysis of driving patterns for driverless car development, etc. Central Road Research Institute and Faros Simulation System have jointly developed a car simulator for extensive research purposes. CRRI Faros Research Simulator. Companies like Real Time Technologies develop custom simulators, typically used by universities, for studying human interactions with self-driving vehicles in order to improve vehicle safety.[7][8]


Fidelity

There exists a number of types research driving simulators, with a wide range of capabilities. The most complex, like the National Advanced Driving Simulator, have a full-sized vehicle body, with six-axis movement and 360-degree visual displays. On the other end of the range are simple desktop simulators such as the York Driving Simulator that are often implemented using a computer monitor for the visual display and a videogame-type steering wheel and pedal input devices. These low cost simulators are used readily in the evaluation of basic and clinically oriented scientific questions.[9][10][11][12][13][14]

The issue is complicated by political and economic factors, as facilities with low-fidelity simulators claim their systems are "good enough" for the job, while the high-fidelity simulator groups insist that their (considerably more expensive) systems are necessary. Research into motion fidelity indicates that, while some motion is necessary in a research driving simulator, it does not need to have enough range to match real-world forces.[15] Recent research has also considered the use of the real-time photo-realistic video content that reacts dynamically to driver behaviour in the environment.[16]

Validity

There is a question of validity—whether results obtained in the simulator are applicable to real-world driving. One review of research studies found that driver behavior on a driving simulator approximates (relative validity) but does not exactly replicate (absolute validity) on-road driving behavior.[17] Another study found absolute validity for the types and number of driver errors committed on a simulator and on the road.[18] Yet another study found that scores on a driving simulator assessment predicted involvement in crashes where the driver was at least partially at fault within five years after the simulator session.[19] Some research teams are using automated vehicles to recreate simulator studies on a test track, enabling a more direct comparison between the simulator study and the real world.[20] As computers have grown faster and simulation is more widespread in the automotive industry, commercial vehicle math models that have been validated by manufacturers are seeing use in simulators.

Simulator Adaptation Syndrome ("SAS")

Simulator Adaptation Syndrome ("SAS"), is an issue with all simulators, not just driving simulators. The main cause of Simulator Adaptation Syndrome are system delays between the driver's command and the response of the simulator. In effect the brain, referencing driving a real vehicle, expects the simulator's response to be the same as a car, the greater the deviation the greater the "adaption burden" on the brain.

If the deviation is large, the driver may experience symptoms of headaches, motion sickness, disorientation, etc. due to SAS although this is very dependent on the individual. Likewise the simulator "cues" also have an effect, that is some individuals will experience discomfort due to a simulator not having motion cues, where others may not have a problem with such simulators. Some individuals will show high tolerance to visual system delays, where others may not.

The "Adaptation" in SAS relates to the brain's accepting these simulator's disparities relative to a real vehicle and thus slowly changing its reference point to that of the simulation. Thus with gradual introduction to the simulator environment the brain will slowly adapt and the negative effects of SAS (headaches, motion sickness, disorientation, etc.) will be greatly reduced. Once a person spends several hours in a driving simulator a real vehicle can evoke SAS again however the adaption time is greatly reduced: the brain quickly "remembers" and "resets" the real vehicle reference point.

As an example of SAS timing, when airline pilots go through regular simulator training they are not allowed to fly an airplane for 1 week in order to allow their brains to "forget" the SAS reference point induced by the simulator.

To sum up, there is no such thing as "Simulator Sickness", there is however a physiological response to simulators called "SAS" which can result in headaches, motion sickness, and disorientation. By minimizing the simulator's system delays, rendering all the cues economically possible, and slowly introducing susceptible individuals, the effects of SAS can be mitigated.

The primary reason for the $54 million price tag of the National Advanced Driving Simulator was to reduce SAS the maximum amount possible . The National Advanced Driving Simulator is capable of rendering, including full-motion cues, a driver passing a vehicle on a 2 lane highway from the beginning of the pass to the end (thus its enormous motion base).

See also

References
  1. Hirsch, P., & Bellavance, F. (2017). Transfer of Training of Driving Skills Learned on a Driving Simulator to On-Road Driving Behavior. Transportation Research Record: Journal of the Transportation Research DOI:10.3141/2660-01
  2. Hirsch, P., Choukou, M-A., & Bellavance, F. (2017). Transfer of Training in Basic Control Skills from a Truck Simulator to a Real Truck. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2637 pp. 67-73. May 2017. DOI: 10.3141/2637-08
  3. "Simulator use is catching on for schools, carriers". Retrieved 18 November 2019.
  4. "Cruden Private Use Simulator". Cruden. Archived from the original on 2012-09-04.
  5. Ballingall, Alex. "Clinical study at CAMH tests how cannabis affects volunteers driving skills". Retrieved 26 August 2019.
  6. Ogourtsova, T.; Kalaba, M.; Gelinas, I.; Korner-Bitensky, N.; Ware, M. A. "Cannabis use and driving-related performance in young recreational users: a within-subject randomized clinical trial". CMAJ Open. 6 (4): E453-E462. doi:10.9778/cmajo.20180164.
  7. "UConn To Study Self-Driving Cars With New Full-Sized Simulator". Retrieved 2019-11-18.
  8. "Virginia Tech mechanical engineering lab receives autonomous driving simulator". Retrieved 2019-11-18.
  9. Li, Z., & Milgram, P. (2005). An Investigation of the Potential to Influence Braking Behaviour Through Manipulation of Optical Looming Cues in a Simulated Driving Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 49(17), 1540–1544.
  10. Matthews, R. W., Ferguson, S. A., Zhou, X., Sargent, C., Darwent, D., Kennaway, D. J., & Roach, G. D. (2012). Time-of-Day Mediates the Influences of Extended Wake and Sleep. Chronobiology International, 29(5): 572–579
  11. Baulk, S. D., Biggs, S. N., Reid, K. J., van den Heuvel, C. J., & Dawson, D. (2008). Chasing the silver bullet: Measuring driver fatigue using simple and complex tasks. Accident Analysis & Prevention, 40(1), 396–402.
  12. Telner, J. A., Wiesenthal, D. L., & Bialystok, E. (2009). Video Gamer Advantages in a Cellular Telephone and Driving Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 53(23), 1748–1752.
  13. Telner, J. A. (2008). The effects of linguistic fluency on performance in a simulated cellular telephone and driving situation. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1748–1752.
  14. Rapoport, M. J., Weaver, B., Kiss, A., Zucchero Sarracini, C., Moller, H., Herrmann, N., Lanctôt, K., et al. (2011). The Effects of Donepezil on Computer-Simulated Driving Ability Among Healthy Older Adults: A Pilot Study. Journal of clinical psychopharmacology, 31(5), 587.
  15. Greenberg J., Artz B., Cathey L. The Effect of Lateral Motion Cues During Simulated Driving. Driving Simulator Conference North America 2003 Proceedings, Dearborn, Michigan, October 8–10, 2003, CD-ROM (ISSN 1546-5071)
  16. Heras, A.M.; Breckon, T.P.; Tirovic, M. (November 2011). "Video Re-sampling and Content Re-targeting for Realistic Driving Incident Simulation". Proc. 8th European Conference on Visual Media Production (PDF). pp. sp-2. Retrieved 8 April 2013.
  17. Mullen, Nadia. Charlton, Judith, Devlin, Anna, and; Bédard, Michel (2011). Chapter 13: Simulator Validity: Behaviors Observed on the Simulator and on the Road. Handbook of Driving Simulation for Engineering, Medicine, and Psychology D. L. Fisher, Rizzo, M., Caird, Jeff K., and Lee, John D. (eds.). Boca Raton, FL, CRC Press/Taylor & Francis
  18. Shechtman, Orit, Classen, Sherrilene, Awadzi, Kezia, Mann, William (2009). "Comparison of Driving Errors Between On-the-Road and Simulated Driving Assessment: A Validation Study." Traffic Injury Prevention 10(4): 379-385
  19. Hoffman, L., & McDowd, J. M. (2010). Simulator driving performance predicts accident reports five years later. Psychology and Aging, 25(3), 741-745
  20. "Program develops new test track capability Archived March 22, 2007, at the Wayback Machine". ITS Sensor. Winter 2004. Retrieved on February 14, 2007
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