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Title:

An Advanced Traveler Navigation System Adapted to Route Choice Preferences of the Individual Users

Accession Number:

01628046

Record Type:

Component

Abstract:

The majority of existing navigation systems only account for a single aspect of the route choice, like travel time or distance, in finding the optimal route for the trips of their users in the network. However, research shows there are a variety of different factors with different levels of importance that can affect the route choice behavior of users, while the relative importance of these factors also varies with trip purpose of the users. In this research, the authors first identify the different factors that travelers take into account in their route choice decision in the network. A stated preference survey is used to show the heterogeneity in preferences of the users regarding the relative importance of these factors. The results of the survey also indicate the partial inability of existing navigation systems in suggesting the routes that match the preferences of users. This shortcoming of navigation systems can be attributed to ignoring the diversity in influential factors and the heterogeneity in preferences of the users by these systems in the approximating the route choice behavior of travelers. To resolve the problem, the authors propose a dynamic mixed logit route choice model to include the effects of information and learning to estimate parameters of a multivariable general cost function for individual users based on their own historical route choice data over time. On this basis, the authors propose the concept of a smart navigation system that can gather the required information from real-time and online sources to suggest the routes that best match the users’ own preferences.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05826

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Amirgholy, Mahyar
Golshani, Nima
Schneider, Craig
Gonzales, Eric J

Pagination:

18p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05826

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:20PM