Title: NEW MODELING TECHNIQUES FOR EVALUATION OF TRANSPORTATION CONTROL MEASURES AND CONGESTION MANAGEMENT TECHNIQUES
Abstract: Under the new Intermodal Surface Transportation Efficiency Act (ISTEA) requirements, Federal funds may not be programmed for any highway or transit project that will result in a significant increase in carrying capacity for single-occupant vehicles unless the project is part of an approved Congestion Management System (CMS). The CMS has yet to be developed for the Boston region. Therefore, as part of the planning process for a major roadway improvement project already in the EIS preparation stage, a comprehensive assessment of the potential efficacy of various TDM/TSM measures was required. Specifically, it was necessary to evaluate these measures in terms of their potential to serve as alternatives to an additional general purpose lane of roadway capacity. To this end, various techniques and procedures were developed to utilize both the regional UTPS travel demand model and a regional mode choice model as tools to comparatively evaluate the measures. Regional travel statistics, air quality impacts and corridor specific travel condition results were derived from model outputs and assessed. Specific measures were identified and designed for application within the context of the project. Various changes to either the trip tables and/or networks were made to create surrogates of the roadway or tripmaking changes inherent in the assumed design parameters of each measure evaluated. The specific measures evaluated for this project included: 1) Employer Based Transportation Management Organizations; 2) Public Transportation Improvements; 3) High Occupancy Vehicle-Lanes; and 4) Incident Management. Ramp Metering was also evaluated, but it was determined to be an inappropriate candidate for development of a model surrogate. The paper presents the process of developing and testing the various TDM/TSM measures and an evaluation of the results. The following steps are detailed: 1) Selection of appropriate measures within the project context; 2) Designing the physical and/or institutional parameters of the measure and identifying the assumptions concerning applicability and potential success for each measure; 3) Developing specific model modifications and techniques for use in the analysis; and 4) Interpretation of results.
Publication Year: 1993
Publication Date: 1993-09-01
Language: en
Type: article
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