Name
Abstract | ||
|---|---|---|
Traffic congestion, collision, and long delay on a traffic signal, etc., are prominent issues in today’s transportation system. To address these issues, literature constitutes different traffic flow models to analyze road conditions. In this context, this paper proposed an optimum scheme called Traffic Signal Delay Avoidance Protocol (TSDAP) based on frequent beacon messages, which aim to estimate speed for vehicles to avoid a long wait on traffic signals. Secondly, the dynamic speed assistance to the driver is another feature of TSDAP. The dynamic speed assistance feature enabled TADAP to avoid a collision. Our simulation results show that the proposed scheme significantly outperforms in terms of speed recommendation for collision and delay avoidance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/WCNCW48565.2020.9124749 | 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) |
Keywords | DocType | ISSN |
Congestion detection,Delay avoidance,intelligent transportation system,speed assistance,traffic flow model | Conference | 2167-8189 |
ISBN | Citations | PageRank |
978-1-7281-5178-6 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Diyan | 1 | 0 | 0.34 |
| Bhagya Nathali Silva | 2 | 21 | 4.92 |
| Jihun Han | 3 | 22 | 5.55 |
| Kyuchang Lee | 4 | 0 | 1.35 |
| Cao Zhenbo | 5 | 0 | 0.34 |
| Kijun Han | 6 | 294 | 56.26 |