Analysis of the Position Effect to the Vehicle Speed and Stop Probability

This paper addresses how to manage the location history data collected from the Jeju taxi telematics system and analyzes the effect of the report position in a link to the average speed and stop probability. The analysis cannot only quantify how much the speed value, included in each location report, will be accurate in calculating the actual link speed but also locate bottle-neck links. Using the road network represented by an ESRI shape format, a map match scheme is designed to calculate the position from one of the two end points. Then, the statistical analysis runs database queries on the vehicle speed and stop probability for all records, for the records having the passenger-on status, and for the records belonging to the hot links. The investigation finds that the speed difference between the middle and end points of a road segment can reach 13 kmh on average and locates intersections that blocks vehicle traffic.

[1]  Gyung-Leen Park,et al.  Design and implementation of a movement history analysis framework for the Taxi telematics system , 2008, 2008 14th Asia-Pacific Conference on Communications.

[2]  Junghoon Lee.  Traffic information processing using the location history data on the vehicular telematics system , 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[3]  Indranil Gupta,et al.  Congestion control for spatio-temporal data in cyber-physical systems , 2010, ICCPS '10.

[4]  Junghoon Lee.  Analysis on the Waiting Time of Empty Taxis for the Taxi Telematics System , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[5]  Paul Green,et al.  Driver Distraction, Telematics Design, and Workload Managers: Safety Issues and Solutions , 2004 .

[6]  Pankoo Kim,et al.  A Telematics Service System Based on the Linux Cluster , 2007, International Conference on Computational Science.

[7]  Sean White,et al.  Urban Computing and Mobile Devices , 2007, IEEE Pervasive Computing.

[8]  Gyung-Leen Park,et al.  Analysis of the Passenger Pick-Up Pattern for Taxi Location Recommendation , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[9]  Jack Dongarra,et al.  Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III , 2007, ICCS.

[10]  Junghoon Lee.  Traveling Pattern Analysis for the Design of Location-Dependent Contents Based on the Taxi Telematics System , 2008 .

[11]  John Krumm,et al.  Hidden Markov map matching through noise and sparseness , 2009, GIS.

[12]  John Krumm,et al.  Detecting Road Intersections from GPS Traces , 2010, GIScience.

[13]  Kentaro Toyama,et al.  Project Lachesis: Parsing and Modeling Location Histories , 2004, GIScience.