Home > Published Issues > 2024 > Volume 19, No. 9, 2024 >
JCM 2024 Vol.19(9): 427-432
DOI: 10.12720/jcm.19.9.427-432

Evaluation of Traffic Accident Detection by Simulating and Modeling the Vehicle Network Using SUMO and OMNeT++ Simulators

Mohammad Tariq Yaseen*, Amina A. Fadhil, and Fawaz Yaseen Abdullah
Department of Electrical Engineering, College of Engineering, University of Mosul, Mosul, Iraq
Email: mtyaseen@uomosul.edu.iq (M.T.Y.); aminaalrawy@uomosul.edu.iq (A.A.F.)
*Corresponding author

Manuscript received February 7, 2024; revised March 18, 2024; accepted April 10, 2024; published September 24, 2024.

Abstract—This paper presents a solution to the problem of increasing the total number of vehicles that lead to accidents on roads. Vehicular Ad-hoc Networks (VANET) have been developed in the infrastructure. This study suggests using VANET networks to communicate with vehicles, Roadside Units (RSU), and network servers. The proposed method properly simulates VANET by executing the fundamental parameters of IEEE 802.11p based on maps of the framework (Veins) inside OMNET++ and SUMO simulators to implement and simulate the strategy of planning traffic of vehicle routes. The suggested technique’s primary advantage is enabling vehicles to communicate with each other or communicate across the infrastructure to send and receive various types of warning and information messages. Two significant contributions are made in this paper: an environmental contribution by lowering pollution levels in the air by decreasing CO2 emissions from vehicles and reducing road congestion, as well as a technological contribution to simulate the planning traffic of vehicle routes. Our technology is capable of monitoring air pollution and architecture simulation tested on highways and in a scenario of emergency braking. Each vehicle may request the shortest route by sending a packet request to the network server and awaiting a response that includes a new path. The primary performance parameter indicator refers to the exchange of data in wireless communication for vehicles such as speed and acceleration at different times of simulation. The vehicles’ speed, acceleration, CO2 emission, and total lost packets at RSU were analyzed when changing the length of the path in each scenario. In the simulation, 100 vehicles were used to travel on a lane with a speed of 14 km/h on a 3,400-meter-long highway in a network size of (3000 × 3000) m. Simulation results were obtained with a travel time of 300 seconds for 100 vehicles, the total lost packets at RSU were 61, and the total CO2 emissions were 3,1548 gm/miles. The advantages of simulation results are providing safer roads for vehicles to prevent accidents, enhancing wireless infrastructure, and lowering pollution levels.
 

Keywords—vehicular communication, Roadside Units (RSU), veins, OMNeT++ Simulators, Vehicular Ad-hoc Networks (VANET), SUMO, CO2 emissions, prevent accidents, congestion control


Cite: Mohammad Tariq Yaseen, Amina A. Fadhil, and Fawaz Yaseen Abdullah, “Evaluation of Traffic Accident Detection by Simulating and Modeling the Vehicle Network Using SUMO and OMNeT++ Simulators," Journal of Communications, vol. 19, no. 9, pp. 427-432, 2024.

 

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.