|M.Sc Student||Lirit Binyamin-Rozenfeld|
|Subject||Route Choics Modeling Using Combined Data from|
GPS and GIS
|Department||Department of Civil and Environmental Engineering||Supervisor||Full Professor Bekhor Shlomo|
|Full Thesis text - in Hebrew|
An effective route choice forecast is essential for efficient design of future transportation networks, and for improvement and optimization of the existing transportation network. Drivers choose their travel route according to maximum personal utility, which is commonly assumed as reducing travel time and length, and minimizing cost. However, there are many secondary factors that significantly affect route planning. The inaccuracy derived from traditional methods for travel data collection (e.g. travel diary and retroactive questionnaires) becomes a limitation on reliability and makes driver behavior analysis more difficult to perform. Questioning drivers can be a tedious process both for the driver and the surveyor, and frequently, drivers do not completely succeed to recall the chosen route.
The presented research investigates route choice based on existing methods. It integrates behavioral latent factors evaluated by a stated preference survey and uses GPS as a measure for collecting and storing travel data in a more reliable way. The primary goal of this research is to develop a route choice model, which combines main latent factors that affect driver's behavior with quantitative service variables such as travel time and route length.
Two important goals are derived from the main goal and the problem definition:
The research method was divided into three stages:
The research contribution is a development of an efficient and reliable route choice model that will be based on GPS and GIS combined system for collecting, storing and analyzing travel data, and utilize traffic planners for better efficient design of future traffic network and improvement of existing networks.