Researchers Develop Optimal Roadside Unit Deployment Scheme for Urban Areas
As the world grapples with increasing road accidents, particularly in developing countries, researchers at Teleconnect Inc. have made a breakthrough in developing an optimal roadside unit (RSU) deployment scheme for urban areas. The scheme is based on artificial intelligence and uses a hybrid genetic algorithm-particle swarm optimization (GA-PSO) technique to optimally deploy RSUs in energy-saving mode. The researchers' goal is to improve communication between vehicles and infrastructure, thereby reducing road accidents. The Kilimani-Hurlingham road network in Nairobi, Kenya, was used to test the model, and the simulation results demonstrate its effectiveness in achieving significant communication results concerning connectivity, packet delivery ratio, and average downlink end-to-end delay.
Key Takeaways:
- The researchers at Teleconnect Inc. developed an optimal RSU deployment scheme for urban areas using artificial intelligence and a hybrid GA-PSO technique.
- The scheme aims to improve communication between vehicles and infrastructure, reducing road accidents.
- The Kilimani-Hurlingham road network in Nairobi, Kenya, was used to test the model, with simulation results demonstrating its effectiveness in achieving significant communication results.
- The RSU deployment scheme achieved a packet delivery ratio of up to 62.36% for large packets and 79.08% for small packets.
- The average downlink end-to-end delay was reduced to 3.51 ms for large packets, far less than the maximum acceptable delay of 20 ms in the V3I network.
- The hybrid GA-PSO technique outperformed the use of GA and PSO individually, demonstrating the superiority of the hybridization of both techniques.
Statistics:
- 3369 deaths due to road accidents in Kenya during the first nine months of 2024.
- Pedestrians and motorcyclists were the most affected groups, accounting for a significant proportion of road accident fatalities.
- The RSU deployment scheme achieved a packet delivery ratio of up to 62.36% for large packets and 79.08% for small packets.
- The average downlink end-to-end delay was reduced to 3.51 ms for large packets, far less than the maximum acceptable delay of 20 ms in the V3I network.
- The hybrid GA-PSO technique outperformed the use of GA and PSO individually, with a maximum end-to-end delay of 3.51 ms for large packets compared to 20 ms for the standalone GA and PSO techniques.
Sources:
- Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents. Journal of Electrical Systems and Information Technology, 2025, 12(1):1-22.
- NewsRx. New Electrical Systems and Information Technology Data Have Been Reported by Researchers at Teleconnect Inc. (Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents). Information Technology Newsweekly. September 2, 2025; p 407.