Performance Evaluation of Vehicle-Based Mobile Sensor Networks for Traffic Monitoring

Vehicle-based sensors can be used for traffic monitoring. These sensors are usually set with long sampling intervals to save communication costs and to avoid network congestion. In this paper, we are interested in understanding the traffic-monitoring performance that we can expect from such vehicle-based mobile sensor networks, despite the incomplete information provided. This is a fundamental problem to be addressed. A performance evaluation has been carried out in Shanghai, China, by utilizing the vehicle-based sensors installed in about 4000 taxies. Two types of traffic status-estimation algorithms, i.e., the link-based and the vehicle-based, are introduced and analyzed. The results show that estimations of the traffic status based on these imperfect data are reasonably accurate. Therefore, the feasibility of such an application is demonstrated.

[1]  Daiheng Ni Determining Traffic-Flow Characteristics by Definition for Application in ITS , 2007, IEEE Transactions on Intelligent Transportation Systems.

[2]  Liang Zou,et al.  Arterial speed studies with taxi equipped with global positioning receivers as probe vehicle , 2005, Proceedings. 2005 International Conference on Wireless Communications, Networking and Mobile Computing, 2005..

[3]  Steven I-Jy Chien,et al.  Dynamic Freeway Travel-Time Prediction with Probe Vehicle Data: Link Based Versus Path Based , 2001 .

[4]  R. Kolbl,et al.  Probe vehicle: A comparison of motorway performance measure with other motorway flow detection techniques , 2002 .

[5]  R. Bertini,et al.  Transit Buses as Traffic Probes: Use of Geolocation Data for Empirical Evaluation , 2004 .

[6]  Partha Chakroborty,et al.  Using Bus Travel Time Data to Estimate Travel Times on Urban Corridors , 2004 .

[7]  Hironori Suzuki,et al.  Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway , 2003 .

[8]  Steven I-Jy Chien,et al.  Dynamic freeway travel time prediction using probe vehicle data: Link-based vs , 2001 .

[9]  Mingyan Liu,et al.  Surface street traffic estimation , 2007, MobiSys '07.

[10]  Washington Y. Ochieng,et al.  Integrity of map-matching algorithms , 2006 .

[11]  Young Cho,et al.  Estimating Velocity Fields on a Freeway From Low-Resolution Videos , 2006, IEEE Transactions on Intelligent Transportation Systems.