Routing Policy Choice Models In Stochastic Time Dependent Networks

Download or read book Routing Policy Choice Models in Stochastic Time-dependent Networks written by Song Gao and published by . This book was released on 2018 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: "We propose to specify and estimate a routing policy choice model using taxi GPS (Global Positioning System) traces in the city of Stockholm, Sweden. The research is valuable for the evaluation of transportation investments, policies and technologies intended to improve the mobility and reliability of the system, especially the evaluation of Advanced Traveler Information Systems (ATIS). It will contribute to the three integrated technology themes of the New England University Transportation Center (UTC): ubiquitous intelligence, big data, and user performance. Transportation systems are frequently subject to random disruptions. Real-time traffic information has the potential to reduce uncertainty and help travelers make more informed decisions. Understanding travelers’ route choice behavior in response to real-time information is a critical component in designing and evaluating transportation solutions related to traveller information provision, either through government managed systems (e.g., 511) or private companies (e.g., Google Traffic). Specifically, the objectives of the proposed project are to: perform map-matching of taxi GPS readings to a digital map to obtain chosen routes between selected origin-destination (OD) pairs and generate the empirical link travel time distribution for an underlying stochastic time-dependent network; generate choice sets where the alternatives are routing policies that allow re-routing based upon realized traffic conditions, and evaluate and improve choice sets based on coverage and adaptiveness; estimate the routing policy choice model; and compare the routing policy model with a benchmark path choice model."--