Congestion and Bottleneck Identification (CBI) Software Tool User's Guide
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2018-08-01
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Edition:Research Report
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Abstract:To justify investments towards improved traffic operations, engineers and policymakers need accurate and scientific methods of congestion measurement. However, conventional methods are limited and/or outdated. Peak hour analyses fail to account for changing conditions throughout the year. Reliability modeling in the Highway Capacity Manual (HCM), which attempts to capture these annual effects, has significant input data and calibration requirements. Data-driven intelligent transportation system (ITS) technologies, which identify congestion in real time, still have room for improvement in the robustness of performance measures derived from them. Finally, comparing and ranking congested locations (i.e., bottlenecks) on the basis of experience and judgment lacks credibility unless backed by quantitative results. This guide discusses project-specific software that produced new and innovative performance measures for congestion measurement. Case studies of rankings of eight real-world bottlenecks demonstrated the benefits of multivariate analysis backed by intuitive visualizations. It is hoped that the new methods will be adopted by States and/or commercial products for a new level of robustness in congestion measurement.
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