Driver Behaviors towards Autonomous Vehicles (AVs) Modeling: A Comprehensive Review
2022-01-0350
03/29/2022
- Content
- Driving safety is currently based on how the driver acts and behaves in environmental perception, decision-making, and controlling the vehicle. Modeling such behaviors of drivers started back in 1950s and through the years these driver behavior models have been used as an input to self-coaching, accident prevention studies, and developing driver assisting systems that can foster safety of lives on the roads. But in recent years, human-like driving has revolutionized the autonomous vehicle (AV) research and traffic management studies. In heterogeneous roads where human drivers and autonomous vehicles operates, understanding the intent and action of human driver’s action is essential for AVs in conjunction with vehicle to vehicle (V2V) communications. In traffic simulations, the human driver models can also be the input to the AVs as a reference and the perception, decision-making and control of AVs can also be designed human-like. Among other driving tasks on roads, Car following (CF) and lane changing (LC) maneuvers are the two most common. In this comprehensive review, the CF and LC models are briefly discussed. The development and progress of these models, their applications in AVs simulation, and the current research directions has been incorporated in the review.
- Citation
- Negash, N., and Yang, J., "Driver Behaviors towards Autonomous Vehicles (AVs) Modeling: A Comprehensive Review," SAE Technical Paper 2022-01-0350, 2022, .