Title :
Impact of Probe Vehicles Sample Size on Link Travel Time Estimation
Author :
Jiang, Guiyan ; Gang, Longhui ; Cai, Zhili
Author_Institution :
Jilin Univ., Changchun
Abstract :
Many transportation management agencies are using probe to collect average link travel time, which is significant for congestion management, traffic incidents detection, routing guidance and traveler information systems. A key issue of using probe technologies is to determine the probe vehicles sample size required to collect traffic information cost-effectively. This paper proposed a method based on random sampling theory to analyze the impact of probe vehicles sample size on accuracy of average link travel time estimation without considering the population distribution of traffic data. Finally, case study was performed with simulation and field data. The analysis result shows that (1) time interval has little affect on the accuracy of ALTT estimation while probe sample size is fixed; (2) when probe vehicles sample size reaches to certain level, estimated errors reduce gently with the increasing of the number of probe vehicles. The transportation management agencies may determine the optimal probe sample size according to the errors confidence interval estimated by the proposed method
Keywords :
estimation theory; sampling methods; traffic information systems; ALTT estimation; congestion management; link travel time estimation; probe technologies; random sampling theory; routing guidance; traffic incident detection; transportation management agencies; traveler information systems; Global Positioning System; Land vehicles; Management information systems; Navigation; Probes; Road vehicles; Routing; Telecommunication traffic; Traffic control; Transportation;
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
DOI :
10.1109/ITSC.2006.1706791