1. Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic Institute (RPI)

2. Overview Motivation for CMP Demo Studies in California Challenging Issues Percentile-based Methods for Performance Assessment and Bottleneck Calibration Current Progress and Expected Outcome

3. The corridor system management plan is an evolving effort that is consistent with a maturing transportation system

4. 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

5. 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)

6. Role of Micro-Simulation in CMP Corridor SelectionData Collection Corridor Performance Assessment Base-Year Simulation Model Development Evaluation of Future-Year Improvement Strategies Final Recommendations Paramics

7. Demo Project – I880 37 miles 157 actuated signals 25 fixed-time signals 56 ramp meters (143 metered lanes)

8. Demo Projects – SR41 & I5 SR41 16 miles 99 traffic signals 15 ramp meters I5 30 miles 96 ramp meters 120 signals (actuated)

9. Simulation Framework Development I880 I5 (on-going)

10. SR41 Paramics Network

11. 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

12. 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

13. 13 Speed Contour Map Incident Average No-Incident 15% 50%85%

14. Binary Speed Contour Maps V th = 35mph Observed Data Simulation Data C1 = 90.5% V th = 35mph Overlapping AreaUnion Area

15. 15 I-880 NB Speed Contour Maps Observe d Data Simulation Data

16. 16 I-880 NB Binary Speed Contour Maps C1= 24.2% Observe d Data Simulation Data

17. 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.

18. Future Year Improvements for SR-41 Short-term (2005) Medium-term (2010) Long-term (2025) Long-term with HOV (2025)

19. Results of Future Year Improvements Average Freeway Speed (PM)

20. 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

21. Acknowledgement

22. Thank you Questions? xban@calccit.org