Providing Reliable Route Guidance: Phase II

Yu Marco Nie · Xing Wu · Joseph Zissman · Chanhan Lee · Michael Haynes

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Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

The overarching goal of the project is to enhance travel reliability of highway users by providing them with reliable route guidance produced from newly developed routing algorithms that are validated and implemented with real traffic data. To these ends, the project further develops the reliable routing algorithms, tests the idea of using the Chicago Transit Authority (CTA) bus data to estimate travel times on arterial and local roads, and conducts a survey designed to understand travelers’ reaction and attitude to travel reliability and their opinions about reliable route guidance products.

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2019Theory of games and economic behavior 2016Third-Degree Stochastic Dominance 2003Optimization with Stochastic Dominance Constraints 2009Shortest path problem considering on-time arrival probability 1999VALUATION OF TRAVEL-TIME SAVINGS AND PREDICTABILITY IN CONGESTED CONDITIONS FOR HIGHWAY USER-COST ESTIMATION 2005Optimal routing policy problems in stochastic time-dependent networks 2005Arriving on Time 2000Adaptive least-expected time paths in stochastic, time-varying transportation and data networks

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