Title :
An Infrastructure-less Vehicle Counting without Disruption
Author :
Jie Wu ; Sabatino, Paul ; Tsan, Jennifer ; Zhen Jiang
Author_Institution :
Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
Abstract :
This paper presents a solution to count all moving vehicles in a target region. This is a large-scale counting that cannot be easily solved without a global view. However, there is no single force that can provide such a global view. To achieve an accurate result without either double- or miscounting, the local counting at each checkpoint is synchronized in our wireless communication by using the information carried by vehicles along the traffic flow. Our analytical and experimental results illustrate the correctness of the proposed scheme in both closed and open road systems - even when the wireless signal is affected by many factors. In this way, we provide an essential support for the resource management in VANETs.
Keywords :
road traffic; traffic information systems; vehicular ad hoc networks; VANET; closed road systems; infrastructure-less vehicle counting; large-scale counting; moving vehicles; open road systems; resource management; wireless communication; Radiation detectors; Roads; Surveillance; Synchronization; Trajectory; Vehicles; Wireless communication; Distributed algorithm; inter-vehicle wireless communication; resource management; traffic surveillance;
Conference_Titel :
Parallel Processing (ICPP), 2014 43rd International Conference on
Conference_Location :
Minneapolis MN
DOI :
10.1109/ICPP.2014.61