Providing Reliable Route Guidance Using Chicago Data

Nie, Yu (Marco); Wu, Xing; Nelson, Peter; Dillenburg, John; National Research Council (U.S.). Transportation Research Board

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Providing Reliable Route Guidance Using Chicago Data

2009-10-05
By Nie, Yu (Marco) ; Wu, Xing ; Nelson, Peter ; ...

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Creators:

Nie, Yu (Marco) ; Wu, Xing ; Nelson, Peter ; Dillenburg, John

Nie, Yu (Marco) ; Wu, Xing ; Nelson, Peter ; Dillenburg, John Less -
Corporate Creators:

National Research Council (U.S.). Transportation Research Board
Subject/TRT Terms:

[+]

Case Studies Data And Information Technology Highway Operations Highways Operations And Traffic Management Peak Hour Traffic Research Hub Route Guidance Shortest Path Algorithms Traffic Control Traffic Data Travel Time
Publication/ Report Number:

2009-001
Resource Type:

Tech Report
Geographical Coverage:

United States ; Chicago Metropolitan Area ; Indiana ; Wisconsin

United States ; Chicago Metropolitan Area ; Indiana ; Wisconsin Less -
Corporate Publisher:

National Research Council (U.S.). Transportation Research Board
Abstract:

Reliable route guidance can be generated from solving the reliable a priori shortest path problem, which finds paths that maximize the probability of arriving on time. This paper aims to demonstrate the usefulness and feasibility of such route guidance using a case study. A hybrid discretization approach is first developed to improve the efficiency in computing convolution integral, which is an important and time-consuming component of the reliable routing algorithm. Methods to construct link travel time distributions are discussed and implemented with the data from the case study. Particularly, the travel time distributions on arterial streets are estimated from linear regression models calibrated from freeway data. Numerical experiments demonstrate that optimal paths are substantially affected by the reliability requirement in rush hours, and that reliable route guidance could generate up to 10 - 20 % of travel time savings. The study also verifies that existing algorithms can solve large-scale problems with modest computational resources.
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PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:35e314636754ea986048ec86238d16ccfb40b06aff05ebc5b9e3b4e3206496f7
Download URL:

https://rosap.ntl.bts.gov/view/dot/36544/dot_36544_DS1.pdf
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Providing Reliable Route Guidance Using Chicago Data

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