摘要
为充分利用道路资源,提高道路网络系统的运行效率,缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题,面向无人驾驶车辆普及的未来对可变车道优化方法开展了研究。根据用户最优和系统最优之间的关系,提出了通过ITS调控所有无人驾驶车辆实现系统最优的方法。在此基础上,进一步考虑可变车道对道路资源的调节作用,构建了基于无人驾驶车辆的系统最优可变车道模型。采用混沌粒子群算法对模型进行求解,并通过算例验证了模型和算法的有效性。研究结果表明:在无人驾驶车辆普及的未来,单纯通过ITS调控所有无人驾驶车辆在道路网络达到系统最优状态,由于不能很好地利用轻交通流方向闲置的道路资源来提高重交通流方向路段的容量从而调节道路网络结构更好地匹配居民出行需求,因此对于缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题效果并不突出,对于提高道路网络的运行效率亦有限。而结合可变车道优化后,可以很好地协调人、车、路之间的关系,调节道路网络结构更好地匹配居民出行需求,均衡各路段的饱和度,优化流量在道路网络上的分布,显著减少道路网络系统总出行时间,在最大程度上发挥道路资源的作用,保障道路网络系统高效运行,有效缓解因潮汐现象所导致的交通拥堵和道路资源闲置并存的问题。
With the aim to make full use of road resources,improve the operation efficiency of the road network system,alleviate the coexistence of traffic congestion and road resources idle problem caused by the tidal phenomenon,the reversible lane optimization method for future popularization of autonomous vehicles is researched. A method for realizing the system optimal state by using ITS control all of the autonomous vehicles is proposed according to the relationship between the user optimization and the system optimization.Then,considering the regulating effect of reversible lane on road resources,the optimal reversible lane model based on autonomous vehicles is constructed. The model is solved by using chaotic particle swarm algorithm,and the effectiveness of the model and the algorithm are verified by numerical examples. The result shows that（1） With the popularization of autonomous vehicles in the future,although all the autonomous vehicles controlled by ITS to achieve the system optimal state of the road network alone,it is difficult to take full advantage of the idle road resources in light traffic flow direction to improve the capacity in heavy traffic flow direction to adjust the road network structure to better match the residents＇ travel demand. Therefore,the effect of alleviating the coexistence of traffic congestion and road resources idle problem caused by the tidal phenomenon is not outstanding,and it is also limited to improve the efficiency of the road network system.（2） By using the reversible lane optimization method,it can well coordinate the relationship among people,cars and roads,adjust the road network structure to match the residents＇ travel demand better,balance the saturation of each road section,optimize the distribution of traffic on the road network,reduce the total travel time of the road network system remarkably,make full use of road resources,ensure the effective operation of the road network system,effectively alleviate the coexistence of traffic congestion and road resources idle problem caused by the tidal phenomenon.
作者
蔡建荣
黄中祥
吴立烜
CAI Jian-rong;HUANG Zhong-xiang;WU Li-xuan(School of Traffic and Transportation Engineering, Changsha University of Science ＆ Technology, Changsha Hunan 410114, China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2018年第7期136-141,150,共7页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(51338002)
湖南省教育厅科研立项项目(17C0058)
