Taxi drivers are viewed having more driving experience, being more familiar with road traffic condition, and in turn having more rational route choice behaviors than ordinary drivers. Using floating car data (FCD) of Beijing taxi in 2010, this study discusses the influence of road network conditions and traffic status to taxi drivers route choice behaviors. First, trip information is extracted from FCD using trip-identification method; Second, map matching and K-shortest paths are used to construct the trajectories and the sets of alternate routes, and route similarity evaluation is conducted to build the sample data of route choice behavior analysis; Finally, route choice model for taxi drivers based on Multinomial Logit (MNL) Model is estimated. The result shows that taxi drivers tend to choose the route which has faster driving speed, less frequency of left turns, more proportion of express way and less proportion of minor road, and increasing a left-turn or decreasing travel speed by 2.12 km/h has the same effect on route choice utility. This study is expected to be helpful to establish map-matching algorithm of FCD, route guidance scheme and traffic assignment model.
Taxi Driver's Route Choice Behavior Analysis Based on Floating Car Data
CEABM, International Conference on Civil Engineering, Architecture and Building Materials, 3 ; 2036-2039
Applied Mechanics and Materials ; 361-363
2013
4 Seiten
Conference paper
English
Taxi Driver's Route Choice Behavior Analysis Based on Floating Car Data
Trans Tech Publications | 2013
|Taxi Driver’s Operation Behavior and Passengers’ Demand Analysis Based on GPS Data
DOAJ | 2018
|Taxi driver’s learning curves: An empirical analysis
Elsevier | 2022
|An Analysis of Driver's Route Choice Behavior in Urban Road Networks Based on GPS Data
British Library Conference Proceedings | 2007
|