Offset adaptive optimizing of arterial coordinating under internet of vehicle
CHAI Linguo
CAI Baigen
SHANGGUAN Wei
WANG Jian
WANG Huashen
CHEN Junjie
Abstract：An offset adaptive optimizing method in arterial coordination control under internet of vehicle is proposed to improve traffic efficiency.Firstly,a fuzzy control network is established based on vehicle lane changing delay model.The input of the fuzzy network is the number of vehicle crossing the upstream intersection and the output is the downstream intersection offset.Then,Genetic Algorithm (GA) is used to automatically adjust the fuzzy rules in order to solve the inefficiency caused by the change of traffic flow and environment.At last,a Q-Paramics based vehicle internet simulation platform is built to verify the proposed method.The results show that the proposed method works better than traditional arterial coordination control.And under the simulating situations of fluctuated traffic flow,GA based fuzzy control method reduces vehicle average waiting time 12.35％ and 9.7％ respectively compared to the fuzzy control method.The methodology proposed in this paper can also adapt to shifty traffic flow and changing environment and has more optimal adaptability,availability and engineering value.
Keywords：transportation engineeringarterial coordination controlfuzzy adaptive controloffsetsimulation and verification
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 69-75 )