A Hybrid Meso-Microsimulation Model for Corridor System Management Plans A Hybrid Meso-Microsimulation Model for Corridor System Management Plans Session 10: C orridorStudies M ay 19, 2009 1:30 –5:00 PM Surachet Pravinvongvuth (Chet) Bill L oudon DKS Associates
DKS Associates. A Hybrid Model for CSMP. Outline. Corridor System Management Plan (CSMP) Travel Demand vs. Simulation Models Micro vs. Meso Simulation Models US-101 Corridor Modeling Methodology and Techniques. A Hybrid Model for CSMP. CSMP – A New Approach. - PowerPoint PPT Presentation
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A Hybrid Meso-Microsimulation Model for Corridor System Management PlansA Hybrid Meso-Microsimulation Model for Corridor System Management Plans
Session 10: Corridor Studies
May 19, 20091:30 – 5:00 PM
Surachet Pravinvongvuth (Chet)
Bill Loudon
DKS Associates
2
• Corridor System Management Plan (CSMP)
• Travel Demand vs. Simulation Models• Micro vs. Meso Simulation Models• US-101 Corridor• Modeling Methodology and Techniques
Outline
A Hybrid Model for CSMPA Hybrid Model for CSMP
CSMP – A New Approach
A new approach of taking planning through operations• Using simulation as a planning tool• Taking a new look at existing conditions• Creating a living document that will
extend the life of the corridor plan
A Hybrid Model for CSMPA Hybrid Model for CSMP
4
Corridor System Management Plans (CSMP)
A Hybrid Model for CSMPA Hybrid Model for CSMP
Summarize Corridor
Conditions
Summarize Corridor
Conditions Develop PreliminaryPerformance
Sta
keh
old
er In
volv
emen
t –
Co
nse
nsu
s B
uild
ing
ComprehensiveCorridor Performance
Assessment
Evaluate SystemManagement Approach Ensure
Adequate Detection
Ensure Adequate Detection
Identify Causality and Degradation
Identify Causality and Degradation
Test Scenarios
Forecast Future TravelDevelop CSMP
Develop CSMP
Acceptance by MPO and CaltransDistrict – 5, District – 7 and HQ
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• Simulating a very large corridor (50*4 miles2)• Dealing with multiple stakeholders • Integrating information from three existing
travel demand models• Bridging the gap between travel demand
models and simulation models • Developing future-year simulation models• Assessing operational strategies• Making the processes livable in supporting
future CSMPs.
Key Challenges
A Hybrid Model for CSMPA Hybrid Model for CSMP
Santa Barbara County
Ventura County
Goleta Santa BarbaraCarpinteria
Ventura
Oxnard
US-101 at the CMIA Project AreaUS-101 at the CMIA Project Area
A Hybrid Model for CSMPA Hybrid Model for CSMP
Reality
Travel Demand Model
Simulation Model
Travel Demand vs. Simulation Models
A Hybrid Model for CSMPA Hybrid Model for CSMP
(Static) Travel Demand ModelA Hybrid Model for CSMPA Hybrid Model for CSMP
(Dynamic) Simulation ModelA Hybrid Model for CSMPA Hybrid Model for CSMP
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• Simulates the movement of individual vehicles based on car-following and lane-changing logics.
• Has the highest detailed assessment (but the size of network is limited due to its computationally expensive and sensitive to gridlocks).
MICROscopic Simulation
A Hybrid Model for CSMPA Hybrid Model for CSMP
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• Relatively less detailed assessment but can cover a larger network.
• Unit of traffic flow is the individual vehicle; however, their movements are governed by the basis of aggregate speed/volume relationship instead of car-following and lane-changing theories.
MESOscopic Simulation
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Hybrid Simulation
• Take advantages of microsimulation to model roadway segments of interest and yield relatively less detailed in modeling side streets.
• Both parts are simulated simultaneously within the same run--no discrepancy between the two parts.
A Hybrid Model for CSMPA Hybrid Model for CSMP
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US-101 Hybrid Simulation Model
in Santa Barbara
A Hybrid Model for CSMPA Hybrid Model for CSMP
CoreCoreInnerInner
OuterOuter
Outer
Inner
Core
US-101
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US-101 Hybrid Simulation Model
in Ventura
A Hybrid Model for CSMPA Hybrid Model for CSMP
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• 247 intersection counts• 24 mainline manual counts• All on/off ramp counts for the all freeways
(50*4 miles2)• 30 arterial loop counts• Tach runs for 2 days (8 probes, 15-minute