Lane change algorithm using rule-based control method based on look-ahead concept for the scenario when emergency vehicle approaching

被引:0
作者
Wenjing Cao
Hanqing Zhao
机构
[1] Sophia University,Department of Engineering and Applied Sciences
来源
Artificial Life and Robotics | 2022年 / 27卷
关键词
Look-ahead control; Lane change; Emergency vehicle; Real-time control; Traffic congestion;
D O I
暂无
中图分类号
学科分类号
摘要
When an emergency vehicle approaches form behind, the driver must change his/her lane to the left lane and pull over to gave way to the emergency vehicle. However, in most cases the abrupt lane change maneuver of the vehicles in front of the emergency vehicle will cause a traffic congestion, and the emergency vehicles must decelerate as a result. To avoid the above situation, we designed a lane change algorithm based on a look-ahead concept for the vehicle driving in front of the emergency vehicle (defined as the ego vehicle). To reduce calculation load, a rule-based control method is adopted to control the longitudinal motion and a cosine function is adopted to control the lateral motion of the ego vehicle. This lane change algorithm allows the ego vehicle to choose a gap in the left lane or the right lane to merge to as soon as possible, and to change its lane safely without affecting the surrounding vehicles. The objective of the control method is to let the emergency vehicle pass smoothly without deceleration in congested traffic condition. A computer simulation was conducted to validate the effectiveness of the proposed method. The simulation results for 1000 initial conditions show that, for 720 initial conditions the proposed method manages to merge the ego vehicle effectively without collision, and the emergency vehicle does not need to slow down. Compared with a lane change control method without look-ahead concept, the proposed method increases the number of successful lane change maneuver by 555 cases.
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页码:818 / 827
页数:9
相关论文
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  • [1] Mayer JD(1979)Emergency medical service: delays, response time and survival Med Care 17 818-827
  • [2] Arnott R(1994)The Economics of Traffic Congestion Am Sci 82 446-455
  • [3] Small K(2019)Estimating the social cost of congestion using the bottleneck model Econ Trans 19 100-119
  • [4] Kim J(2018)An efficient dynamic traffic light scheduling algorithm considering emergency vehicles for intelligent transportation systems Wirel Netw 24 2451-2463
  • [5] Younes MB(2018)Tony Z Qiu, Signal Priority Request Delay Modeling and Mitigation for Emergency Vehicles in Connected Vehicle Environment 2672 45-57
  • [6] Boukerche A(2016)A dynamic automated lane change maneuver based on vehicle-to-vehicle communication Trans Res Part C 62 87-102
  • [7] Li Jiangchen(2019)Cooperative lane-change maneuver for multiple automated vhicles on a hghway Automot Innov 2 157-168
  • [8] Qiu Chen(2016)Efficient driving on multilane roads under a connected vehicle environment IEEE Trans Intell Trans Syst 17 2541-2551
  • [9] Peng Liqun(2019)Merging trajectory generation method using real-time optimization with enhanced robustness against sensor noise Artif Life Robotics 24 527-533
  • [10] Luo Y(2021)A lok-ahead lane change scheme for efficient driving in freeway traffic IFAC-PapersOnLine 54 406-409