Corridor Management Planning in California

Jeff X. BanCCIT, 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

Evaluation of Future-Year Improvement Strategies

Final Recommendations

Paramics

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

I880 I5 (on-going)

SR41 Paramics Network

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

TtNiptivtivP p ,,1,,,1,)),(),(( p-th percentile speed

13

Speed Contour Map

IncidentAverage

No-Incident 15%

50% 85%

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

15

I-880 NB Speed Contour Maps

Observed Data

Simulation Data

16

I-880 NB Binary Speed Contour Maps

• C1= 24.2%

Observed Data

Simulation 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

Acknowledgement

Thank you

• Questions? xban@calccit.org