Route Choice Modeling Using Gps Data

Route Choice Modeling Using GPS Data

A positive sign on the path size attribute indicates that the route with less similarity with the alternatives is more likely to be chosen. Trips going to home are the least sensitive to the travel time and right turns than the other trips. Compared to home-based trips, non-home-based trips are less sensitive to intersections and time on local roads. On average, the expected overlaps (probabilistic routes) with the chosen route are similar to the deterministic overlaps (shortest time path). Also, there is a probability of about 50% that the predicted route will outperform the shortest time path. We envision this study as an important contribution towards the development of empirically rich route choice models. With increasing numbers of GPS surveys and benefits of using high-resolution roadway network, the availability of computationally efficient automatic procedures to generate the chosen routes and alternatives is critical. Further, the examination of route choice behavior in terms of travelers' demographics provides more insight into the route choice decisions.

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