01519173

Component

Real time information about traffic conditions is becoming widely available through various media. In such conditions, travelers have better knowledge about the system and adapt as the system evolves dynamically during their travel. Drivers may change routes along their travel in order to optimize their own objective of travel, which can be characterized by disutility functions. The focus of this research is to study the behavior of travelers with multiple trip objectives, when provided with real time information. A web based experiment is carried out to simulate a traffic network with information provision and different travel objectives. The decision strategies of participants are analyzed and compared to the optimal policy, along with few other possible decision rules and a general model is calibrated to describe the travelers’ decision strategy. Apart from trip objective, other factors such as relative position in the network and experience gained are found to influence user decisions. This research is a step towards calibrating equilibrium models for adaptive behavior with multiple user classes.

This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values.

01503729

14-5368

English

18p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Decision making; Real time information; Routing; Traffic simulation; Travel behavior; Traveler information and communication systems; Websites (Information retrieval)

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-5368

TRIS, TRB, ATRI

Jan 27 2014 3:53PM