Analysis and Modeling for Multiple Route Choice Behavior in the Presence of Travel Time Information
Moon NamGung, Soo-Lyeon Sung
Abstract
Moon NamGung, Soo-Lyeon Sung
Abstract
As traffic congestion increases in urban areas, providing traffic information on route choice is a variable strategy for traffic system manegement and operation. Stated preference survey to evaluate the effect of drivers' behavior with travel time information on multiple route choice was done for those people in the Chun-Ju City who commute to and from work everyday. The survey consists of the prediction of travel time for each route, drivers' response to travel time information and an image for each route. Statistical analysis of drivers' characteristics and modeling of drivers' behavior by the multinomial legit were performed. From the results, We found that the group of drivers who didn't switch the route even if travel time information was provided was between 30 to 40 percentage. And, Drivers' route choice behavior on multiple route depends on the travel time information. The results of modeling show that these models provide reasonable results in terms of behavioral and statistial considerations for the multiple route choice.
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As traffic congestion increases in urban areas, providing traffic information on route choice is a variable strategy for traffic system manegement and operation. Stated preference survey to evaluate the effect of drivers' behavior with travel time information on multiple route choice was done for those people in the Chun-Ju City who commute to and from work everyday. The survey consists of the prediction of travel time for each route, drivers' response to travel time information and an image for each route. Statistical analysis of drivers' characteristics and modeling of drivers' behavior by the multinomial legit were performed. From the results, We found that the group of drivers who didn't switch the route even if travel time information was provided was between 30 to 40 percentage. And, Drivers' route choice behavior on multiple route depends on the travel time information. The results of modeling show that these models provide reasonable results in terms of behavioral and statistial considerations for the multiple route choice.
Key concepts: Travel time, Travel behavior, Transport engineering, Preference, Computer science, Variable (mathematics), Revealed preference, Multinomial logistic regression