ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.218
The Problem of Traffic Signal Control Solved by LPLCC Model
Abstract— This paper presents a linear program model with linear complementarity constraints (LPLCC) to
solve traffic signal optimization problem. The objective function of the model is to obtain the minimization
of total queue length with weight factors at the end of each cycle. Then, an algorithm based on SQP is
proposed, by which local optimal solution can be obtained. Furthermore, three numerical experiments are
proposed to study how to set the initial solution of the algorithm that can get a better local optimal solution
more quickly. In particular, the results show that: The model is effective for different arrival rates and weight
factors, and the lower the bound of the initial solution is, the better the optimal solution can be gotten.br />
Index Terms— traffic signal control, optimization, weight factors, LPLCC.
Yu Hu, Yuan-Yang Zou
School of Management, Shanghai University, CHINA
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]
Cite: Yu Hu, Yuan-Yang Zou, "The Problem of Traffic Signal Control Solved by LPLCC Model," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1252-1256, Beijing, 25-27 June, 2017.