A Mobile Sensor System and its Performance of Traffic Monitoring

We present a mobile sensor system for traffic monitoring (GSSTM), which is a typically Grid application in ShanghaiGrid to provide accurate realtime traffic status information. Several issues and challenges in GSSTM are discussed, such as Grid architecture design, data processing for traffic status estimation, storage strategy of massive data, etc. We implemented a prototype system of GSSTM and carried out a field testing in Shanghai city by using GPS-based sensors on 4000 taxis. The testing results show that by utilizing the Grid technology, the expected performance can be obtained, such as stability, scalability, etc. Meantime, traffic status can be fairly well estimated in GSSTM.

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

[2]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[3]  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..

[4]  Changjun Jiang,et al.  The Architecture of Traffic Information Grid , 2003, GCC.

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

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

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

[8]  Dieter Pfoser,et al.  On Map-Matching Vehicle Tracking Data , 2005, VLDB.

[9]  Linpeng Huang,et al.  ShanghaiGrid: an Information Service Grid , 2006, Concurr. Comput. Pract. Exp..

[10]  Ami Marowka,et al.  The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..

[11]  Yang Zhang,et al.  CarTel: a distributed mobile sensor computing system , 2006, SenSys '06.

[12]  Shanshan Song,et al.  Risk-resilient heuristics and genetic algorithms for security-assured grid job scheduling , 2006, IEEE Transactions on Computers.

[13]  Hui Liu,et al.  ShanghaiGrid in action: the first stage projects towards digital city and city grid , 2003, Int. J. Grid Util. Comput..

[14]  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 .

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

[16]  Hong Liu,et al.  Recent advances in CFD grid application platform , 2004, IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004.