Title :
Estimation approach for average link travel time based on fuzzy C-mean method
Author_Institution :
Zhejiang Univ. of Sci. & Technol., Hang Zhou, China
Abstract :
In order to availably utilize taxi GPS data with low frequency and precisely estimate the average link travel time (ALTT), an estimation approach of ALTT and Improved Map-matching algorithm was proposed. After analyzing upstream and downstream intersections of link particularly, more accurate estimates the moment of a vehicle through the intersection. Using the time difference of upstream and downstream intersections as single vehicle link travel time (SLTT). We generate patterns for the high, middle and low speed level by calculating the SLTT using FCM. ALTT calculated by means of a certain weight using the center value of each cluster after confirming of cluster membership of SLTT data. Computation result shows that the relative tolerance is less between the measure value and computation value of ALTT.
Keywords :
estimation theory; fuzzy set theory; road vehicles; transportation; average link travel time; cluster membership; estimation approach; fuzzy C-mean method; improved map-matching algorithm; single vehicle link travel time; taxi GPS data; Electronic mail; Estimation; Global Positioning System; Probes; Time frequency analysis; Vehicle dynamics; Vehicles; Average Link Travel Time; Fuzzy C-Mean Method; GPS Data of Vehicles; Map-matching Algorithm;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6