Autonomous vehicles (AVs) are becoming increasingly popular, and this can potentially affect road performance. Road performance also influences driving comfort safety for AVs. In study, the influence of changes in traffic volume wheel track distribution caused by AVs on rutting distress asphalt pavement was investigated through finite element simulations. A vehicle-mounted three-dimensional las...

The wind suddenly blown to the side of car (i.e, cross-wind effect) is considered as one major lateral disturbances, which causes unstable motion vehicle and persistent driving fatigue for driver who tracks desired travel path. In particular, a commercial having large area greatly affected by this effect. Therefore, many related automotive/car manufacturers still wish equip their Advanced Drivi...

Most of the existing research in field autonomous vehicles (AVs) addresses decision making, planning and control as separate factors which may affect AV performance complex driving environments. A hierarchical framework is proposed this paper to address problem mentioned above environments with multiple lanes surrounding vehicles. Firstly, high-level making implemented by a finite-state machine...

Abstract A comparative study of model predictive control (MPC) schemes and robust $$H_{\infty }$$ H? state feedback (RSC) method for trajectory tracking is proposed in this paper. The main objective paper to compare MPC RSC controllers’ performance predefined under differen...

Aiming at the yaw stability problem of a four-wheel independent-drive electric vehicle (EV) during steering, this paper proposes an adaptive sliding mode control strategy (ASMC) for based on phase plane. The adopts hierarchical control. upper layer is ASMC controllers particle swarm optimization (PSO). chattering controller, approach law designed as law, which changes with change system state b...

Distributed drive electric vehicles are regarded as the promising transportation due to advanced power flow architecture. Optimizing yaw motion enhance vehicle safety is a challenging job. Besides, nonlinear features in affect control accuracy of controllers. To this end, deep reinforcement learning (DRL) based direct moment (DYC) strategy put forward here. Vehicle dynamics can be approximated ...

Abstract Most researches focus on the regenerative braking system design in vehicle components control and torque distribution, few combine connected technologies into velocity planning. If intention is accessed by vehicle-to-everything communication, electric vehicles (EVs) could plan for recovering more kinetic energy. Therefore, this paper presents an energy-optimal strategy (EOBS) to improv...

Abstract With the help of several in-wheel motors, four-wheel independent-drive electric vehicle (4WIDEV) has tremendous potential to improve performance. Except for theme stability enhancement during past two decades, energy saving topic becomes more attractive recently. However, it is difficult achieve and economy performance simultaneously. Given commonly used control method rigid yaw rate t...

To analyze the influence of distance between tunnels at bridge-tunnel junction in mountainous area on driving safety under crosswind, a vehicle dynamics model is established by Carsim software. Under conditions different speeds (60km/h, 80km/h and 100km/h), wind scales (level 6–9) three alignment combinations (tunnel-straight road-tunnel, tunnel-curving tunnel-the combination straight curves ro...