Title: Integration of GIS&WSN for an intelligent traffic signal

Authors: A.S. Elmotelb; Bahaa T. Shabana; I.M. Elhenawy

Addresses: Faculty of Computers and Information, Computer Science Department, Kafr Elsheik University, Kafr Elsheik, 33511, Egypt ' Computer Science Department, Misr Higher Institute for Commerce and Computers, Mansoura, 35527, Egypt ' Faculty of Computers and Information, Computer Science Department, Zagazig University, Zagazig, 44661, Egypt

Abstract: In most urban areas, traffic signals are the backbone of transportation systems. Consequently, transportation authorities have started to search for techniques that emphasise the effective usage of the current transportation frameworks. However, these strategies lack the ability to avoid conflicts in the traffic environment and have low service rates, huge waiting times, high queuing length, and a huge amount of pollution. The recent advancements in wireless sensor networks (WSNs) and geographic information system (GIS) provides new opportunities for better environmental management. Thus, this paper proposes a traffic signal management dynamic cycle (TSMDC) control system for traffic signal management. TSMDC has been tested over real traffic data (loaded from OpenStreetMap site). TSMDC increases mean travel time by 11.2%, decreases halting by 93.7%, decreases queuing time by 89%, reduces queuing length by 67.2% and reduces the amount of pollution by 40.6% in the traffic system compared with ordinary systems.

Keywords: GIS; geographic information system; WSN; wireless sensor network; traffic signals management system; ITS; intelligent transportation system; transportation systems.

DOI: 10.1504/IJAIP.2024.137186

International Journal of Advanced Intelligence Paradigms, 2024 Vol.27 No.2, pp.104 - 128

Received: 08 Apr 2019
Accepted: 22 May 2019
Published online: 05 Mar 2024 *

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