Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/19427867.2022.2050493
Advancement of mobile technologies has enabled economical collection,\nstorage, processing, and sharing of traffic data. These data are made\naccessible to intended users through various application program interfaces\n(API) and can be used to recognize and mitigate congestion in real time. In\nthis paper, quantitative (time of arrival) and qualitative (color-coded\ncongestion levels) data were acquired from the Google traffic APIs. New\nparameters that reflect heterogeneous traffic conditions were defined and\nutilized for real-time control of traffic signals while maintaining the\ngreen-to-red time ratio. The proposed method utilizes a congestion-avoiding\nprinciple commonly used in computer networking. Adaptive congestion levels were\nobserved on three different intersections of Delhi (India), in peak hours. It\nshowed good variation, hence sensitive for the control algorithm to act\nefficiently. Also, simulation study establishes that proposed control algorithm\ndecreases waiting time and congestion. The proposed method provides an\ninexpensive alternative for traffic sensing and tracking technologies.\n
Related Topics To Compare & Contrast
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/19427867.2022.2050493
- OA Status
- green
- Cited By
- 17
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221058657