Fog-based Intelligent Transportation System for Traffic Light Optimization: Fog-based Intelligent Transportation System

Muhammad Rusyadi  Ramli; Riesa Krisna Astuti  Sakir; Dong-Seong  Kim

doi:10.53560/PPASA(58-sp1)730

Authors

Muhammad Rusyadi Ramli Department of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Yangho-dong, Gumi, Gyeongsangbuk-do, 39177, Korea
Riesa Krisna Astuti Sakir Department of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Yangho-dong, Gumi, Gyeongsangbuk-do, 39177, Korea
Dong-Seong Kim Department of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Yangho-dong, Gumi, Gyeongsangbuk-do, 39177, Korea

DOI:

https://doi.org/10.53560/PPASA(58-sp1)730

Keywords:

Fog Computing, Reduce Gas Emission, Road Safety, Smart City

Abstract

This paper presents fog-based intelligent transportation systems (ITS) architecture for traffic light optimization. Specifically, each intersection consists of traffic lights equipped with a fog node. The roadside unit (RSU) node is deployed to monitor the traffic condition and transmit it to the fog node. The traffic light center (TLC) is used to collect the traffic condition from the fog nodes of all intersections. In this work, two traffic light optimization problems are addressed where each problem will be processed either on fog node or TLC according to their requirements. First, the high latency for the vehicle to decide the dilemma zone is addressed. In the dilemma zone, the vehicle may hesitate whether to accelerate or decelerate that can lead to traffic accidents if the decision is not taken quickly. This first problem is processed on the fog node since it requires a real-time process to accomplish. Second, the proposed architecture aims each intersection aware of its adjacent traffic condition. Thus, the TLC is used to estimate the total incoming number of vehicles based on the gathered information from all fog nodes of each intersection. The results show that the proposed fog-based ITS architecture has better performance in terms of network latency compared to the existing solution in which relies only on TLC.

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Fog-based Intelligent Transportation System for Traffic Light Optimization