智能网联车环境下高速匝道汇入车流轨迹优化模型

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (4): 94-100.

• 智能交通系统与信息技术 • 上一篇下一篇

智能网联车环境下高速匝道汇入车流轨迹优化模型

罗孝羚^{1a, 1b, 2, 3}，蒋阳升^{*1a, 1b}

1. 西南交通大学a. 交通运输与物流学院，b. 综合交通大数据应用技术国家工程实验室，成都 610031； 2. 重庆交通大学重庆市交通运输工程重点实验室，重庆 400074； 3. 亚利桑那大学土木建筑工程与力学系，亚利桑那州图森 85719，美国

收稿日期:2019-01-22 修回日期:2019-03-31 出版日期:2019-08-25 发布日期:2019-08-26
作者简介:罗孝羚(1991-)，男，湖南岳阳人，博士生.
基金资助:
国家自然科学基金/National Natural Science Foundation of China(71402149)；重庆市交通运输工程重点实验室开放基金/Chongqing Jiaotong University, Chongqing Key Laboratary of Traffic & Transportation(2018TE04)；西南交通大学博士研究生创新基金/Doctoral Innovation Fund Program of Southwest Jiaotong University(D-CX201826).

Vehicle Trajectory Optimization Model for Ramp Based on Connect Automatically Vehicles

LUO Xiao-ling^{1a, 1b, 2, 3}, JIANG Yang-sheng^{1a, 1b}

1a. School of Transportation and Logistics, 1b. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, China; 2. Chongqing Key Laboratary of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 3. Civil and Architectural Engineering and Mechanics, University of Arizona, Arizona Tucson 85719, USA

Received:2019-01-22 Revised:2019-03-31 Online:2019-08-25 Published:2019-08-26

摘要/Abstract

摘要：

为了解决传统匝道控制车流汇入时车辆需要减速至停止，从而造成延误时间过长的问题，提出了一种智能网联车环境下的高速匝道汇入车辆轨迹优化的两阶段优化模型，其中，第1 阶段优化车辆进入匝道口的时序；第2 阶段基于第1 阶段的最优时序，优化车辆轨迹. 根据所构建的模型设计了一种启发式算法优化车辆通过匝道冲突区域的时序，然后结合 GPOPS工具优化车辆的轨迹.为了验证所提出方法的有效性，将所提出的方法应用到20 min 随机到达的车流，进行仿真实验.实验结果表明，与先进先出的方法相比，本文所提出的方法能够使总延误减少59.7%，总油耗减少10.5%，说明该方法能够实现车辆以较高的速度通过匝道冲突区域，有效地减少了车辆汇入延误，同时也节约了油耗.

关键词: 公路运输, 智能网联车, 高速公路匝道汇合, 时序优化, 轨迹优化

Abstract:

Vehicles from ramp need to reduce the speed and stop at the ramp for merging when signal is red, which causes the long- time delay. A two- level trajectory optimization model based on connected automatically vehicles was proposed. The merging sequence of vehicles is optimized in the first level and the trajectory of vehicles is optimized in the second level. A heuristic model was proposed to solve the first level model and the GPOPS tool was used to solve the second level model. A simulation experiment was carried out to evaluate the proposed approach. 20 min random arrival flow simulation process was used in the simulation experiment. The experiment results show that the proposed method can decrease the total delay and gas consumption by 59.7% and 10.5%, respectively. The vehicle can pass through the conflict zone at high speed, which can reduce the delay and gas cost by using the proposed method.

Key words: highway transportation, connected automated vehicles, vehicle merging at ramp, time sequence optimization, trajectory optimization

中图分类号:

U491

罗孝羚，蒋阳升. 智能网联车环境下高速匝道汇入车流轨迹优化模型[J]. 交通运输系统工程与信息, 2019, 19(4): 94-100.

LUO Xiao-ling, JIANG Yang-sheng. Vehicle Trajectory Optimization Model for Ramp Based on Connect Automatically Vehicles[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(4): 94-100.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19875.shtml

http://www.tseit.org.cn/CN/Y2019/V19/I4/94

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智能网联车环境下高速匝道汇入车流轨迹优化模型

Vehicle Trajectory Optimization Model for Ramp Based on Connect Automatically Vehicles

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