Optimized Development of Urban Transportation Networks 2.0

Abstract

This report presents as series of eight papers on methods for planning, designing, and scheduling the implementation of improvements in urban transportation systems. Five of the papers (1 - 4 and 6) focus on methods for evaluating, sequencing and scheduling interrelated improvements in transportation networks while the others present methods for designing flexible route services (5 - 7) and improving the reliability of rail transit networks (8). Due to the complexity of the relevant functions for evaluating interrelated network improvements, which cannot be optimized with classical calculus techniques, the proposed methods rely on customized genetic algorithms for optimizing the selection, sequencing and scheduling of the interrelated alternatives. Applications to urban transportation networks are presented in papers for journals, which are included in appendices. The papers demonstrate the applicability of the developed methods to urban road networks, intersections in urban road networks, urban rail transit networks and flexible-route transportation systems.

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Impacts and Outcomes

The methods developed and tested in this project are already usable for evaluating, selecting and scheduling interrelated network improvement projects.

Universities and Sponsoring Organizations Involved

University of Maryland

U.S. Department of Transportation Office of the Secretary-Research

Principal Investigators

Dr. Paul Schonfeld

Funding Sources and Amounts

$100,000

Completation Date

December 2020

Keywords

Connected and Automated Vehicle, Connected Traffic Signal Control, Transit Signal Priority, Microscopic Traffic Simulation