Open Access

ARTICLE

KSUTraffic: A Microscopic Traffic Simulator for Traffic Planning in Smart Cities

by Najla Al-Nabhan^*, Maha AlDuhaim, Sarah AlHussan, Haifa Abdullah, Mnira AlHaid, Rawan AlDuhaishi

Computer Science Department, King Saud University, Riyadh, Saudi Arabia

* Corresponding Author: Najla Al-Nabhan. Email:

Computers, Materials & Continua 2021, 68(2), 1831-1845. https://doi.org/10.32604/cmc.2021.012231

Received 21 June 2020; Accepted 13 October 2020; Issue published 13 April 2021

Abstract

Simulation is a powerful tool for improving, evaluating and analyzing the performance of new and existing systems. Traffic simulators provide tools for studying transportation systems in smart cities as they describe the evolution of traffic to the highest level of detail. There are many types of traffic simulators that allow simulating traffic in modern cities. The most popular traffic simulation approach is the microscopic traffic simulation because of its ability to model traffic in a realistic manner. In many cities of Saudi Arabia, traffic management represents a major challenge as a result of expansion in traffic demands and increasing number of incidents. Unfortunately, employing simulation to provide effective traffic management for local scenarios in Saudi Arabia is limited to a number of commercial products in both public and private sectors. Commercial simulators are usually expensive, closed source and inflexible as they allow limited functionalities. In this project, we developed a local traffic simulator “KSUtraffic” for traffic modeling, planning and analysis with respect to different traffic control strategies and considerations. We modeled information specified by GIS and real traffic data. Furthermore, we designed experiments that manipulate simulation parameters and the underlying area. KSUTraffic visualizes traffic and provides statistical results on the simulated traffic which would help to improve traffic management and efficiency.

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Keywords

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