An Adaptive Signal Control Method with Optimal Detector Locations

Senlai Zhu, Ke Guo, Yuntao Guo, Huairen Tao and Quan Shi
Additional contact information
Senlai Zhu: School of Transportation, Nantong University, Nantong 226019, China
Ke Guo: JSTI GROUP, Nanjing 210019, China
Yuntao Guo: Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
Huairen Tao: School of Transportation, Nantong University, Nantong 226019, China
Quan Shi: School of Transportation, Nantong University, Nantong 226019, China

Sustainability, 2019, vol. 11, issue 3, 1-13

Abstract: The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing is adjusted through a signal controller. The proposed method is evaluated through case studies with low and high volume-to-capacity ratio intersections. The results show that the proposed adaptive signal control method can significantly reduce total traffic delay at intersections.

Keywords: adaptive signal control; detector location; signal timing; redundancy time; queue length; intelligent transportation systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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