Journal of Computer Applications ›› 2021, Vol. 41 ›› Issue (2): 571-576.

Special Issue: 前沿与综合应用

• Frontier and comprehensive applications •

Macroscopic fundamental diagram traffic signal control model based on hierarchical control

1. College of Computer Science and Technology, Changchun University of Science and Technology, Changchun Jilin 130022, China
• Received:2020-06-05 Revised:2020-08-21 Online:2021-02-10 Published:2020-10-20
• Supported by:
This work is partially supported by the Technology Research Project of Jilin Science and Technology Development Plan (20190302118GX).

基于层级控制的宏观基本图交通信号控制模型

1. 长春理工大学 计算机科学与技术学院, 长春 130022
• 通讯作者: 杨迪
• 作者简介:王鹏(1974-),男,内蒙古包头人,教授,博士,CCF会员,主要方向:数据库与数据挖掘;李艳雯(1994-),女,黑龙江牡丹江人,硕士研究生,主要研究方向:数据库与数据挖掘;杨迪(1990-),女,吉林松原人,讲师,博士,主要研究方向:智能交通系统;杨华民(1963-),男,吉林长春人,教授,博士,主要研究方向:数据库与数据挖掘、计算机仿真与虚拟现实、人工智能。
• 基金资助:
吉林省科技发展计划技术攻关项目（20190302118GX）。

Abstract: Aiming at the problem of coordinated control within urban traffic sub-areas and boundary intersections, a traffic signal control model based on Hierarchical multi-granularity and Macroscopic Fundamental Diagram (HDMF) was proposed. First, the hierarchical multi-granularity characteristic of the urban traffic system and the rough set theory were used to describe the real-time states of the traffic elements. Then, combined with the distributed intersection signal control based on backpressure algorithm and the dynamic characteristics of the traffic elements, the pressures of the intersection phases were calculated and the phase decision was made. Finally, Macroscopic Fundamental Diagram (MFD) was used to achieve the maximum total flow of vehicles driving out of the area and the optimal number of vehicles in each sub-area. Experimental results showed that HDMF model had the average queue length reduced by 6.35% and 10.01% respectively, and had the average travel time reduced by 6.55% and 11.15% respectively compared with EMP (Extended cooperative Max-Pressure control) model and HGA model based on MFD and hybrid genetic simulated annealing algorithm. It can be seen that the propsed HDMF model can effectively relieve interior and boundary traffic congestions of sub-areas and maximize the traffic flow of the whole road network.

CLC Number: