Real-time traffic signal control for intersections based on dynamic O–D estimation and multi-objective optimisation: combined model and algorithm

Detectors are challenged in providing stable and accurate information of the dynamic origin–destination (O–D) flows for real-time adaptive traffic signal timing operation. However, the dynamic O–D estimation technique is capable of providing a short-term turn-flow data for the signal-timing adjustme...

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Veröffentlicht in:IET intelligent transport systems Jg. 12; H. 7; S. 619 - 630
Hauptverfasser: Jiao, Pengpeng, Sun, Tuo, Li, Dongyue, Guo, Han, Li, Ruimin, Hou, Zenghao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 01.09.2018
Schlagworte:
accumulative queues minimisation
dynamic origin‐destination flows
dynamic O‐D estimation technique
dynamic O‐D flows
minimisation
multiobjective optimisation
queueing theory
real‐time adaptive traffic signal timing operation
real‐time signal timing variations
real‐time traffic signal control
road traffic control
short‐term turn‐flow data
signal adjustment dynamic calculation
signal processing
Special Section: Big Traffic Data Analysis and Mining
traffic efficiency
signal adjustment dynamic calculation
real-time traffic signal control
queueing theory
dynamic O-D flows
road traffic control
signal processing
dynamic O-D estimation technique
traffic efficiency
short-term turn-flow data
real-time signal timing variations
dynamic origin-destination flows
accumulative queues minimisation
minimisation
multiobjective optimisation
real-time adaptive traffic signal timing operation
ISSN:1751-956X, 1751-9578
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Beschreibung
Zusammenfassung:Detectors are challenged in providing stable and accurate information of the dynamic origin–destination (O–D) flows for real-time adaptive traffic signal timing operation. However, the dynamic O–D estimation technique is capable of providing a short-term turn-flow data for the signal-timing adjustment. Meanwhile, the real-time signal timing variations will affect the dynamic O–D flows in an actual network. Therefore, the dynamic O–D estimation and the real-time signal control closely interact with each. A combined model is proposed to dynamically calculate the signal adjustment answering the variation of the real-time O–D flows by minimising the accumulative queues in entering approaches. A case study was conducted to validate the proposed model and algorithms, and the result showed the traffic efficiency of the case study intersection was improved.
ISSN:1751-956X
1751-9578
DOI:10.1049/iet-its.2018.5308