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Journal of Advanced Transportation
Volume 2017, Article ID 6354690, 12 pages
https://doi.org/10.1155/2017/6354690
Research Article

Optimal Corridor Selection for a Road Space Management Strategy: Methodology and Tool

Texas A&M Transportation Institute, 110 N Davis Drive, Suite 106, Arlington, TX 76013, USA

Correspondence should be addressed to Sushant Sharma; ude.umat@amrahs-s

Received 5 July 2016; Accepted 10 October 2016; Published 11 January 2017

Academic Editor: Sunder Lall Dhingra

Copyright © 2017 Sushant Sharma. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Nationwide, there is a growing realization that there are valuable benefits to using the existing roadway facilities to their full potential rather than expanding capacity in a traditional way. Currently, state DOTs are looking for cost-effective transportation solutions to mitigate the growing congestion and increasing funding gaps. Innovative road space management strategies like narrowing of multiple lanes (three or more) and shoulder width to add a lane enhance the utilization while eliminating the costs associated with constructing new lanes. Although this strategy (among many) generally leads to better mobility, identifying optimal corridors is a challenge and may affect the benefits. Further, there is a likelihood that added capacity may provide localized benefits, at the expense of system level performance measures (travel time and crashes) because of the relocation of traffic operational bottlenecks. This paper develops a novel transportation programming and investment decision method to identify optimal corridors for adding capacity in the network by leveraging lane widths. The methodology explicitly takes into consideration the system level benefits and safety. The programming compares two conflicting objectives of system travel time and safety benefits to find an optimal solution.