Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic...
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Transcript of Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic...
![Page 1: Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic Institute…](https://reader036.fdocuments.in/reader036/viewer/2022062911/5a4d1bf27f8b9ab0599e662a/html5/thumbnails/1.jpg)
Corridor Management Planning in California
Jeff X. BanCCIT, UC-Berkeley
Rensselaer Polytechnic Institute (RPI)
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Overview
• Motivation for CMP• Demo Studies in California• Challenging Issues• Percentile-based Methods for
Performance Assessment and Bottleneck Calibration
• Current Progress and Expected Outcome
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The corridor system management plan is an evolving effort that is consistent with a maturing transportation system
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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
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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)
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Role of Micro-Simulation in CMP
Corridor Selection Data Collection
Corridor Performance Assessment
Base-Year Simulation Model Development
Evaluation of Future-Year Improvement Strategies
Final Recommendations
Paramics
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Demo Project – I880
37 miles
157 actuated signals
25 fixed-time signals
56 ramp meters (143 metered lanes)
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Demo Projects – SR41 & I5
SR41
16 miles
99 traffic signals
15 ramp meters
I5
30 miles
96 ramp meters
120 signals (actuated)
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Simulation Framework Development
I880 I5 (on-going)
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SR41 Paramics Network
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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
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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
TtNiptivtivP p ,,1,,,1,)),(),(( p-th percentile speed
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Speed Contour Map
IncidentAverage
No-Incident 15%
50% 85%
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Binary Speed Contour Maps
Vth = 35mph
Observed Data Simulation Data
N
iii
T
trs
N
iii
T
trs
xxtiBStiBS
xxtiBStiBSC
1 1
1 11
)}())],(),([{(
)}())],(),([{(
C1 = 90.5%
Vth = 35mph
Overlapping Area Union Area
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I-880 NB Speed Contour Maps
Observed Data
Simulation Data
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I-880 NB Binary Speed Contour Maps
• C1= 24.2%
Observed Data
Simulation Data
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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.
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Future Year Improvements for SR-41• Short-term (2005)• Medium-term (2010)• Long-term (2025)• Long-term with HOV (2025)
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Results of Future Year Improvements
Average Freeway Speed (PM)
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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
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Acknowledgement