|Table of Contents|

Optimization method of modeling signal phase of urban trafficsignal selforganizing control(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2020年4期
Page:
91-100
Research Field:
交通工程
Publishing date:

Info

Title:
Optimization method of modeling signal phase of urban trafficsignal selforganizing control
Author(s):
ZHONG Fusheng;  WANG Anlin;  JIANG Tao
(School of Mechanical Engineering, Tongji University, Shanghai 201804, China)
Keywords:
traffic engineering;  signal control;  selforganizing control;  modeling signal phase;  traffic assignment
PACS:
-
DOI:
-
Abstract:
To solve the problem that the green light loss time was increasing under the situation that the green light duration of each signal phase was gradually reduced after entering the congested road condition at intersections, which was caused by the modeling method of signal phase in urban traffic signal selforganizing control, an optimization method of modeling signal phase of urban traffic signal selforganizing control was proposed. The traffic congestion degree of each lane of the intersection was taken as the decision information of the signal selforganization system under urban traffic, the selforganization unit was composed of the interactive and coordinated adjacent intersections under the realtime situation, and the selforganization decision rule set for signal switching under urban traffic was established by the hydrodynamics. The modeling of the signal phase in a rolling step way was chosen in the traditional urban traffic signal selforganizing control, the control strategy was updated by establishing both the assignment rules of traffic flow and the expected green time, this update was used to dealing with the complexity of each selforganizing unit in the system, such as road composition, intersection connection and traffic flow randomness. On the basis of the traditional strategy, first, state constraints were added to improve the rationality of rules at the intersections under each signal phase, the basis for the coordination of traffic efficiency between adjacent intersections was provided after the optimization of its own parameters infected by the state constraints. Then, the transmitting of the microscopic traffic flow was simulated through cellular transfer model, and the continuous transmission way of queues at intersections was calculated by this simulation, so that the release requirements for the intersection and the flow distribution rules could be both established based at the same time under the signal phase between the upstream and downstream. Lastly, the signal phases were dynamically allocated under the calculated release requirements, the allocation was constrained by the different traffic volume from upstream intersection and the current maximum allowed traffic flow at the downstream intersection, based on the release requirements, the expected green time was calculated after allocation, so that the optimization method of signal phase modeling could be completed. The results show that the optimized modeling method can not only improve the traffic efficiency of selforganizing control in congested and noncongested road conditions, but also effectively reduce the overall time of each intersection in congested state, so that the overall traffic capacity of the intersection groups can be improved, which is also the way to realize a synchronous optimization of single point control and smallscale area control. 13 figs, 27 refs.

References:

Memo

Memo:
-
Last Update: 2020-07-31