交通运输系统工程与信息

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 212-218.

• 系统工程理论与方法 • 上一篇    下一篇

多元收费方式下的高速公路收费站车道数优化研究

杨涛1，王鹏2a，朱季萍1，赵建东*2b, 2c   

  1. 1. 山西省交通规划勘察设计院，太原 030012；2. 北京交通大学a. 机械与电子控制工程学院， b. 交通运输学院，c. 综合交通运输大数据应用技术交通运输行业重点实验室，北京 100044
  • 收稿日期:2019-04-09 修回日期:2019-07-22 出版日期:2019-10-25 发布日期:2019-10-25
  • 作者简介:杨涛（1983-），男，内蒙古呼和浩特人，高级工程师.
  • 基金资助:

    山西省交通运输厅科研业务费专项基金/The Fundamental Research Funds for Department of Transportation of Shanxi Province (2017-1-13)；国家自然科学基金面上项目/National Natural Science Foundation of China (71871011).

Optimization of Lane Number of Highway Toll Station Based on Multiple Payments

YANG Tao1,WANG Peng2a, ZHU Ji-ping1, ZHAO Jian-dong2b, 2c   

  1. 1. The Communications Planning Surveying and Designing Institute of Shanxi Province, Taiyuan 030012, China; 2a. School of Mechanical, Electronic and Control Engineering, 2b. School of Traffic and Transportation, 2c. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport，Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China
  • Received:2019-04-09 Revised:2019-07-22 Online:2019-10-25 Published:2019-10-25

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摘要：

随着货车比增加和移动支付方式的应用，依据现有《收费公路联网技术要求》计算车道数用到的交通量换算和服务时间已不符合实际，造成车道数计算不准确，易导致车道拥堵或车道资源浪费. 本文围绕车道数优化计算展开研究. 首先分析多元收费方式服务时间及其差异性，提出多元收费方式服务时间计算模型. 考虑车辆跟驰、排队等行为因素，基于 VISSIM 建立收费站通行仿真模型，以车流量、车型比等数据为输入，获取满足设计需求的车道数. 将需求车道数和实际服务时间输入排队模型计算DHV修正值. 利用多项式回归，建立实际DHV值和DHV修正值间的DHV换算模型. 根据实际服务时间和DHV修正值，获得优化车道数. 最后，以典型收费站进行实证分析，表明本文方法可实现车道数的优化计算.

关键词: 公路运输, 收费车道数, 排队论, 多元收费方式

Abstract:

With the increase of trucks and the application of mobile payment methods, the number of lanes is calculated according to the "Toll Road Networking Technical Requirements". The traffic volume conversion and service time are not in line with reality, and the number of lanes is not accurately calculated, resulting in congestion or waste of lane resources. This paper focuses on the calculation of the number of lanes. Firstly, this paper analyzes the difference of service time and proposes a service time calculation model of multi payments. Considering behavioral factors such as vehicle following and queuing, a toll station simulation model is established based on VISSIM. Take the traffic volume, model ratio as input to obtain the number of lanes that meet the design requirements. Enter the number of required lanes and service time into the queuing model to calculate the DHV correction value. This paper establishes a DHV conversion model between the actual DHV value and the DHV correction value. Based on the service time and DHV correction value, the number of optimized lanes is obtained from the number of lanes in the technical requirements. Finally, with the empirical analysis of the toll station, this method can achieve the optimal calculation of the number of lanes.

Key words: highway transportation, number of toll lanes, queuing theory, multiple payments

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