@ARTICLE{ iet:/content/journals/10.1049/iet-its.2018.5308, author = {Pengpeng Jiao}, author = {Tuo Sun}, author = {Dongyue Li}, author = {Han Guo}, author = {Ruimin Li}, author = {Zenghao Hou}, keywords = {multiobjective optimisation;real-time signal timing variations;dynamic O-D estimation technique;real-time adaptive traffic signal timing operation;real-time traffic signal control;traffic efficiency;signal adjustment dynamic calculation;dynamic O-D flows;dynamic origin-destination flows;short-term turn-flow data;accumulative queues minimisation;}, ISSN = {1751-956X}, language = {English}, abstract = {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.}, title = {Real-time traffic signal control for intersections based on dynamic O–D estimation and multi-objective optimisation: combined model and algorithm}, journal = {IET Intelligent Transport Systems}, issue = {7}, volume = {12}, year = {2018}, month = {September}, pages = {619-630(11)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=4onb6u7cpkdp8.x-iet-live-01content/journals/10.1049/iet-its.2018.5308} }