|
|
基于混合整数非线性规划的SRT公交信号优先模型
|
Abstract:
超级虚拟轨道快运系统(Super autonomous Rail Rapid Transit，简称SRT)作为低成本、大运量的轨道交通系统是城市公交发展的新方向，车路协同技术为公交信号优先控制提供了技术支持。以减少交叉口内人均延误和车辆燃油消耗为目标，建立基于混合整数非线性规划的SRT公交信号优先模型，给出模型求解方法。结合SUMO仿真软件，对盐城市SRT某交叉口进行实例分析，得出该优先模型可以有效提高交叉口通行效率并降低了能耗，具有一定经济实用性。
Super Virtual Rail Rapid Transit System (SRT) As a low-cost and high-capacity rail transit system, it is a new direction for the development of urban public transportation, and vehicle road coordination technology provides technical support for priority control of public transportation signals. With the goal of reducing per capita delay and vehicle fuel consumption at intersections, a mixed integer nonlinear programming based SRT bus signal priority model is established, and a solution method for the model is provided. Combining sumo simulation software, an example analysis was conducted on an SRT intersection in Yancheng City, and it was found that the priority model can effectively improve the traffic efficiency of the intersection and reduce energy consumption, which has certain economic practicality.
| [1] | Naumann, R., Rasche, R. and Tacken, J. (1998) Managingautonomous Vehicles Atintersections. Intelligent Systems and their Applications, 13, 82-86. https://doi.org/10.1109/5254.683216 |
| [2] | Dresner, K. and Stone, P. (2005) Multiagent Traffic Management: An Improved Intersection Controlmechanism. Proceedings of the Fourth International Joint Conference on Autonomous Agents Andmultiagent Systems, Amsterdam, 25-29 July 2005, 471-477. https://doi.org/10.1145/1082473.1082545 |
| [3] | Mohammad, N. and Hossein, P. (2009) The Effect of VII Market Penetration on Safety and Efficiency of Transportation Networks. Proceedings of International Conference on Communications Workshops, Dresden, 14-18 June 2009, 1-5. https://ieeexplore.ieee.org/document/5208069 |
| [4] | Yang, X., Wang, Y. and Yin, W. (2014) Using CVIS to Process the Concurrent Signal Priority Requirements: A Cooperative Optimization Model and Its Hardware-in-the-Loop Field Tests. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), Qingdao, 8-11 October 2014, 6-10. https://doi.org/10.1109/ITSC.2014.6957657 |
| [5] | Gartner, N.H. (1983) OPAC: A Demand-Responsive Strategy for Traffic Signal Control. Transportation Research Record, No. 906, 75-84. |
| [6] | 李鹏凯, 吴伟, 杜荣华, 杨应科. 车路协同环境下多车协同车速引导建模与仿真[J]. 交通信息与安全, 2013, 31(2): 134-139 148. |
| [7] | 杨晓光, 林瑜, 杭明升. 信号控制交叉口公共汽车优先信号确定方法研究[J]. 中国公路学报, 2001(S1): 103-106 110. |
| [8] | 蒋贤才, 张龙洋, 高苏. 考虑车速诱导及车辆到达特征的交叉口信号优化控制方法[J]. 大连交通大学学报, 2019, 40(6): 1-8. |
| [9] | 吕少文, 杨立越, 金南旭, 郑春花. 智能交通环境下车辆群体速度优化控制方法研究[J]. 集成技术, 2020, 9(5): 15-26. |
| [10] | 韩飒. 考虑燃油消耗和排放的交叉口汽车路径规划与控制模型[J]. 公路交通科技, 2019, 36(10): 98-104. |
| [11] | 姜慧夫. 网联自动驾驶环境下信号交叉口环保驾驶控制研究[D]: [硕士学位论文]. 哈尔滨: 哈尔滨工业大学, 2018. |
| [12] | 张腾, 黄敏, 张汉林. 精细化交叉口数据模型的建模方法[J]. 计算机应用研究, 2020, 37(4): 1086-1089. https://doi.org/10.19734/j.issn.1001-3695.2018.09.0763 |
