中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (12): 27-32.DOI: 10.3969/j.issn.1674-0696.2021.12.05

• 交通+大数据人工智能 • 上一篇    

考虑交叉口延误的交通微循环路网优化研究

张丽莉,高雪溢   

  1. (东北林业大学 交通学院,黑龙江 哈尔滨 150000)
  • 收稿日期:2020-05-27 修回日期:2020-11-11 发布日期:2021-12-27
  • 作者简介:张丽莉(1977—),女,黑龙江哈尔滨人,副教授,博士,主要从事智能交通管理方法和技术方面的研究。E-mail:zygao@center.njtu.edu.cn 通信作者:高雪溢(1994—),女,辽宁法库人,硕士,主要从事交通规划、交通设计等方面的研究。E-mail:591843568@qq.com
  • 基金资助:
    国家林业局948项目(2015-4-33);中央高校基本科研业务费专项资金项目(2572014CB18)

Optimization of Traffic Microcirculation Road Network Considering Intersection Delay

ZHANG Lili, GAO Xueyi   

  1. (School of Traffic and Transportation, Northeast Forestry University, Harbin 150000, Heilongjiang, China)
  • Received:2020-05-27 Revised:2020-11-11 Published:2021-12-27

摘要: 针对我国干路拥堵且支路利用率不高的问题,利用交通微循环理论,考虑交叉口对路网延误的影响,构建了考虑交叉口延误的交通微循环路网优化双层模型。上层模型在路段饱和度、通行能力和投资额度的约束下,确定构成交通微循环网络的道路,并对选取的道路确定其改建程度,使得规划区域内路网平均行程速度最大;下层模型将交叉口延误与路段行驶时间相结合,构造路网总阻抗最小化函数,在满足上层模型的前提下,进行交通分配;并通过遗传算法建立了模型求解算法。最后,以大庆市新玛特地区的路网为研究对象进行实例分析。研究结果表明:进行交通微循环路网优化后,干路平均饱和度由0.72降低至0.65,路网平均饱和度由0.65降低至0.43,所提出的方法能够在投资额度允许的范围内使得路网运营效益最大化。

关键词: 交通工程;城市交通;路网优化;交通微循环;路网;双层规划

Abstract: In order to solve the problem of traffic congestion of arterial roads and low utilization rate of branch roads, a two-layer optimization model of traffic microcirculation network considering intersection delay was established by using the traffic microcirculation theory and considering the impact of intersections on the total delay of the road network. Under the constraints of road saturation, traffic capacity and investment amount, the upper model determined the roads constituting the traffic microcirculation network, and determined the reconstruction degree of the selected roads, so as to maximize the average travel speed of the road network in the planning area. The lower-layer model established the function minimizing the total impedance of the road network to assign OD traffic on the premise of meeting the requirements of upper-layer model, through combining the intersection delay with the travel time of the road section. And a solving algorithm for the model was established by genetic algorithm. Finally, taking the road network in the NEW-MART area in Daqing city as the research object, and a case study was carried out. The research results show that the average saturation of the arterial road is reduced from 0.72 to 0.65 and the average saturation of the road network is reduced from 0.65 to 0.43 after optimizing the traffic microcirculation road network. The proposed method can maximize the operation benefits of the road network within the scope of the investment quota.

Key words: transportation engineering; urban traffic; road network optimization; traffic microcirculation; road network; bi-level programming model

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