연구성과
Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
- 작성자관리자
- 작성일2023.09.08
- 조회수90
Sumit Mishra, Vishal Singh, Ankit Gupta, Devanjan Bhattacharya, Abhisek Mudgal
상세내용
BibTeX
- 저자 : Sumit Mishra, Vishal Singh, Ankit Gupta, Devanjan Bhattacharya, Abhisek Mudgal
- 논문명 : Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
- 학술지명 : Transportation Letters
- 발간월 : March
- 권호사항 : 15 / Issue 4 (p. pp 296-307)
- SCI-E 여부 : SCI-E
- ISSN : 1942-7867
- DOI : https://doi.org/10.1080/19427867.2022.2050493© 2022 Informa UK Limited, trading as Taylor & Francis Group
- 초록 : Advancement of mobile technologies has enabled economical collection, storage, processing, and sharing of traffic data. These data are made accessible to intended users through various application program inter-faces (API) and can be used to recognize and mitigate congestion in real time. In this paper, quantitative (time of arrival) and qualitative (color-coded congestion levels) data were acquired from the Google traffic APIs. New parameters that reflect heterogeneous traffic conditions were defined and utilized for real-time control of traffic signals while maintaining the green-to-red time ratio. The proposed method utilizes a congestion-avoiding principle commonly used in computer networking. Adaptive congestion levels were observed on three different intersections of Delhi (India), in peak hours. It showed good variation, hence sensitive for the control algorithm to act efficiently. Also, simulation study establishes that proposed control algorithm decreases waiting time and congestion. The proposed method provides an economical alternative to expensive sensing and tracking technologies.