摘要
物联网、大数据、移动互联等新一代信息技术在自动驾驶方面的运用,为交通信息化和智能化带来了新的发展契机.作为集约型的城市交通发展模式,共享出行已成为学界关注的热点问题.在共享模式和自动驾驶协同发展的时代背景下,提出了随机需求下考虑用户等待时间的网联自动驾驶共享车辆路径规划模型.为验证模型的有效性和鲁棒性,在虚拟网格式路网中设计应用算例,基于优化工具Gurobi对模型进行求解,确定最优的网联自动驾驶车辆规模及最优车辆服务路径,并与个体最优情况下的出行成本及能耗进行对比.研究结果表明,共享模式能大幅度减少车辆数,降低系统总体成本及能耗,在提高车辆使用率和可持续性方面效果显著.
The use of next-generation information technologies such as the Internet of Things,big data,and mobile internet in self-driving has brought new development opportunities for traffic informationization and intelligence.As an intensive urban transportation mode,vehicle-sharing has become a hot academic issue.With the development of vehicle-sharing and autonomous vehicles(AVs),a vehicle path planning model is proposed for sharing connected and autonomous vehicles with consideration of travelers waiting time under random demand.In order to verify the validity and robustness of the proposed model,an instance in a virtual road network is designed and the optimal dispatch strategy of AVs is derived based on an optimization tool Gurobi,meanwhile the fleet size of AVs needed to satisfy all the trips is determined.Then the results are compared with the energy consumption in the individual optimal travel mode.The research results show that the sharing mode can significantly reduce the fleet size of vehicles,reduce the energy consumption of the system,and have a significant effect on improving vehicle usage and sustainability.
作者
乔翔宇
戴荣健
高剑
丁川
QIAO Xiangyu;DAI Rongjian;GAO Jian;DING Chuan(Research Institute of Highway Ministry of Transport,Key Laboratory of Intelligent Transportation Systems Technologies,Beijing 100088,China;Beihang University,School of Transportation Science and Engineering,Beingjing 100191,China)
出处
《交通工程》
2020年第2期73-78,共6页
Journal of Transportation Engineering
基金
智能交通技术交通运输行业重点实验室开放课题资助.
关键词
智能交通
车联网
自动驾驶
共享模式
路径规划
车辆规模
intelligent transportation
connected vehicles
autonomous vehicles
vehicle sharing
path planning
fleet size
