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Corridor Management Planning in California. Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic Institute (RPI). Overview. Motivation for CMP Demo Studies in California Challenging Issues Percentile-based Methods for Performance Assessment and Bottleneck Calibration
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Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic Institute (RPI)
Overview • Motivation for CMP • Demo Studies in California • Challenging Issues • Percentile-based Methods for Performance Assessment and Bottleneck Calibration • Current Progress and Expected Outcome
The corridor system management plan is an evolving effort that is consistent with a maturing transportation system
Motivation • Problems of existing four-step planning process • Static • Can not evaluate various ITS strategies and some of the operational improvements • Proposed corridor management plan • A method that integrates detailed operational analysis into traditional four-step planning process • Can capture detailed dynamics of the system by using microscopic traffic simulation • Can evaluate both ITS strategies and operational improvements
Project Overview • Goal: • To incorporate detailed performance measurement and operational analysis into the traditional corridor planning efforts. • Outcome: • A template for Caltrans to use in corridor planning efforts that will integrate both planning and operations • To help recommend the most effective improvement strategies. • Major Tool: • PeMS (http://pems.eecs.berkeley.edu/Public/) • Microscopic Traffic Simulation (Paramics)
Role of Micro-Simulation in CMP Corridor Selection Data Collection Corridor Performance Assessment Base-Year Simulation Model Development Paramics Evaluation of Future-Year Improvement Strategies Final Recommendations
Demo Project – I880 37 miles 157 actuated signals 25 fixed-time signals 56 ramp meters (143 metered lanes)
Demo Projects – SR41 & I5 SR41 16 miles 99 traffic signals 15 ramp meters I5 30 miles 96 ramp meters 120 signals (actuated)
Simulation Framework Development I5 (on-going) I880
Technical Challenges • Data Collection • Highway: PeMS • Arterials: Field Data Collection • Data Consistency • Representative Day • Bottleneck Calibration in Simulation • Percentile-Based Methods for Performance Assessment and Bottleneck Calibration
Bottleneck Calibration in Simulation • Why Percentile-Based Method? • Need an intelligent way to utilize available data (for multiple days) in the near future • No typical or representative day for many congested urban corridors • Probability of BN Occurrence p-th percentile speed
Speed Contour Map Incident Average 15% No-Incident 50% 85%
Binary Speed Contour Maps Observed Data Simulation Data Vth = 35mph Vth = 35mph Overlapping Area Union Area C1 = 90.5%
I-880 NB Speed Contour Maps Observed Data Simulation Data
I-880 NB Binary Speed Contour Maps • C1= 24.2% Simulation Data Observed Data
Current Progress (The Three studies) • I-880 • The base year micro-simulation model development is completed; Improvement scenario evaluation is near completion. • SR-41 • The study was completed in June of 2007; A final report was submitted and under review. • I-5 • The development of the base year model is completed; Future year evaluation is underway.
Future Year Improvements for SR-41 • Short-term (2005) • Medium-term (2010) • Long-term (2025) • Long-term with HOV (2025)
Results of Future Year Improvements Average Freeway Speed (PM)
Current Progress (Guideline Development) • The project has been aligned with the statewide Corridor System Management Planning (CSMP) activities. • Development of guideline template for conducting CSMP in general • Development of “Cookbook” on what steps need to be performed to conduct CSMP by Caltrans Districts
Thank you • Questions? xban@calccit.org