Identifying strategies to improve lane use management in Indiana.
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2014-08-01
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Abstract:The limited funding available for roadway capacity expansion and the growing funding gap, in conjunction with the increasing ; congestion, creates a critical need for innovative lane use management options for Indiana. Various cost‐effective lane use management ; strategies have been implemented in the US and worldwide to address these challenges. However, all the strategies have their own ; costs, operational characteristics, and additional requirements for field deployment. Hence there is a need for systematic simulation‐ ; based methodology to perform a comprehensive study to identify congested corridors and the specific set of lane use management ; strategies that are effective in Indiana. ; ; A systematic simulation‐based methodology is proposed for evaluating lane use management strategies. A 10‐mile stretch of the I‐65 ; corridor south of downtown Indianapolis was selected as the study corridor using traffic analysis. The demand volumes for the study ; area were determined using subarea analysis. Its performance was evaluated using a microsimulation‐based analysis in the context of ; alleviating congestion for three strategies: reversible lanes, high occupancy vehicle (HOV) lanes and ramp metering. Furthermore, an ; economic evaluation of these strategies was performed to determine the financial feasibility of their implementation. ; ; Results from this analysis indicated that reversible lanes and the ramp metering strategies improved traffic conditions on the freeway in ; the major flow direction. Implementation of the HOV lane strategy resulted in improved traffic flow conditions on the HOV lanes but ; aggravated congestion on the general purpose (GP) lanes. The HOV lane strategy was found to be economically infeasible due to low ; HOV volume on these lanes. The reversible lane and ramp metering strategies were found to be economically feasible with positive net ; present values (NPV), with the NPV for the reversible lane strategy being the highest.
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Main Document Checksum:urn:sha256:8b1043a9f75ab6539e5a95cd7a25c2510498fc51391443b83bde8c4a045fcec3