Vehicular Ad-Hoc Networks sampling protocols for traffic monitoring and incident detection in Intelligent Transportation Systems |
| |
| Institution: | 1. Dept. of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;2. Dept. of Civil, Architectural and Environmental Engineering, (DICEA), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China;2. School of Mathematical Sciences, Jiangsu Key Laboratory for NSLSCS, Nanjing Normal University, Nanjing 210023, PR China;3. School of Computer Sciences, Nanjing Normal University, Nanjing 210097, PR China;1. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China;2. Gulf Coast Center for Evacuation and Transportation Resiliency, Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, United States;3. School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia;1. Centre for Advanced Spatial Analysis, University College London, Gower Street, London WC1E 6BT, United Kingdom;2. Department of Civil, Environment and Geomatic Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom |
| |
| Abstract: | Vehicular Ad-Hoc Networks (VANETs) are an emerging technology soon to be brought to everyday life. Many Intelligent Transport Systems (ITS) services that are nowadays performed with expensive infrastructure, like reliable traffic monitoring and car accident detection, can be enhanced and even entirely provided through this technology. In this paper, we propose and assess how to use VANETs for collecting vehicular traffic measurements. We provide two VANET sampling protocols, named SAME and TOME, and we design and implement an application for one of them, to perform real time incident detection. The proposed framework is validated through simulations of both vehicular micro-mobility and communications on the 68 km highway that surrounds Rome, Italy. Vehicular traffic is generated based on a large real GPS traces set measured on the same highway, involving about ten thousand vehicles over many days. We show that the sampling monitoring protocol, SAME, collects data in few seconds with relative errors less than 10%, whereas the exhaustive protocol TOME allows almost fully accurate estimates within few tens of seconds. We also investigate the effect of a limited deployment of the VANET technology on board of vehicles. Both traffic monitoring and incident detection are shown to still be feasible with just 50% of equipped vehicles. |
| |
| Keywords: | Vehicular traffic monitoring VANET Incident detection Distributed algorithms FCD collection Multi-hop communications |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
