Affiliation:
1. School of Management, Shanghai University, Shanghai 200444, China
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, a combination algorithm based on the nonlinear least regression and sequence quadratic program (NLRSQP) is proposed, by which the local optimal solution can be obtained. Furthermore, four 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 of numerical experiments show that: The model is effective for different arrival rates and weight factors; and the lower bound of the initial solution is, the better optimal solution can be obtained.
Publisher
World Scientific Pub Co Pte Lt
Subject
Condensed Matter Physics,Statistical and Nonlinear Physics
Cited by
3 articles.
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1. An approach to supply chain inventory control problem based on genetic algorithm;Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022);2023-02-02
2. Evaluation of virtual controller interface device and software-in-the-loop simulation;Proceedings of the Institution of Civil Engineers - Transport;2021-10
3. MTGPLP Approach for Traffic Signal Intelligent Control;Mathematical Problems in Engineering;2020-08-17