dks associates. 2 corridor system management plan (csmp) travel demand vs. simulation models micro...
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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
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• 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
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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
headway)• Speed detectors, camcorders, etc.
Data Collection
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Base-year Modeling Methodology
A Hybrid Model for CSMPA Hybrid Model for CSMP
2008 Travel Demand Model
Network Refinement
Subarea Extraction
Observed Counts O-D Trip Table Estimation
Subarea Network
Subarea O-D Trip Table
2000 SBCAG Model/2005 VCTC Model
2030 SBCAG Model/2030 VCTC Model
Model UpdateNetwork Assumptions(2008)
Interface Model
Refined Network(with simulation zones)
O-D Trip Tables
Add Details of Roadways(meso or micro levels)
Peak Spreading/O-D Shifting
Temporal Origin Count Profiles
Base-year Hybrid Simulation Model
Simulation NetworkO-D Trip Tables (with temporal loading profiles)
Other Observed Data
Hybrid Simulation Model Calibration
Calibrated Simulation Network
Calibrated O-D Trip Tables
2008 Seed O-Ds(based on simulation zones)
Refined Network(with simulation zones)
Refined Network(with simulation zones)
2008Signal Timing Plans
Selected Roadways
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Base-year Modeling Methodology (1)
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Base-year Modeling Methodology (2)
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Future-year Modeling Methodology
A Hybrid Model for CSMPA Hybrid Model for CSMP
Future-year Hybrid Simulation Model
Base-year Hybrid Simulation Model
Calibrated O-D Trip Tables
Network Assumptions(CSMP Future Analysis Year)
Fratar Method
CSMP Future Analysis Year O-D Trip Tables
CSMP Future Analysis Year Network
Identify Changes of Trip Productions and Trip Attractions (at each simulation zone)
Future-yearTravel Demand Model
2030 SBCAG Model/2030 VCTC Model
2008 SBCAG Model/2008 VCTC Model
Model Update
Subarea Extraction
Subarea O-D Trip Table
Future-year Seed O-Ds(based on simulation zones)
Calibrated Simulation Network
Peak Spreading/O-D Shifting
2008 Seed O-Ds(based on simulation zones)
Adjusted O-D Trip Tables(CSMP Future Analysis Year)
Signal Timing Plans(optimized in Synchro)
Selected Roadways(same coverage as base-year)
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Future-year Modeling Methodology (1)
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Future-year Modeling Methodology (2)
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Modeling Arterials
Real Network (with Intersection Counts)Real Network (with Intersection Counts)
A Hybrid Model for CSMPA Hybrid Model for CSMP
Roadways in Reality > Travel Demand Model > Simulation ModelRoadways in Reality > Travel Demand Model > Simulation Model
Reality:- Too many intersections- Traffic counts are unbalancedSo, what’s best for simulation world?
Reality:- Too many intersections- Traffic counts are unbalancedSo, what’s best for simulation world?
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Modeling Arterials (2)
A Hybrid Model for CSMPA Hybrid Model for CSMP
Subarea NetworkSubarea Network
SISI
SISI
TDM LinkTDM Link
Sim ZoneSim Zone
Sim ZoneSim Zone
Sim ZoneSim ZoneDIDI
DIDIDIDI
DIDI
DZDZ
DZDZDZDZ
DZDZ
DZDZSimulation Link
Simulation Link DZDZ
DZ
DZ
DZ
DZ
TDM = Travel Demand ModelSI = Study IntersectionDI = Dummy IntersectionSim Zone = Simulation ZoneDZ = Dummy Zone
TDM = Travel Demand ModelSI = Study IntersectionDI = Dummy IntersectionSim Zone = Simulation ZoneDZ = Dummy Zone
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Modeling Arterials (3)
A Hybrid Model for CSMPA Hybrid Model for CSMP
Interface NetworkInterface Network
SISI
SISI
Sim ZoneSim Zone
Sim ZoneSim Zone
Sim ZoneSim ZoneDIDI
DIDI
DZDZ
DZDZ
Simulation Link
Simulation Link
DZ
DZ
DZ
DZ
SI = Study IntersectionDI = Dummy IntersectionSim Zone = Simulation ZoneDZ = Dummy Zone
SI = Study IntersectionDI = Dummy IntersectionSim Zone = Simulation ZoneDZ = Dummy Zone
Need only one “Dummy Intersection” between two “Study Intersections”Need only one “Dummy Intersection” between two “Study Intersections”
Combine O-Ds to remove
unnecessary Dummy Zones
Combine O-Ds to remove
unnecessary Dummy Zones
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Travel Demand Model vs. Interface Model
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A Hybrid Model for CSMPA Hybrid Model for CSMP
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Travel Demand Model vs. Interface Model (2)
A Hybrid Model for CSMPA Hybrid Model for CSMP
Combined DemandsCombined Demands
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Interface Model
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Study Intersection
Study Intersection
Dummy Intersection
Dummy Intersection
A zone at each boundary link (one-to-one mapping)A zone at each boundary link (one-to-one mapping)
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Simulation Model
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Path-based Routing
A Hybrid Model for CSMPA Hybrid Model for CSMP
809 { 1031 1032 1033 1034 1035 31209 1037 1038 1039 1040 1041 1042 1043 1134 1135 1136 1137 1138 1165 1139 36582 1166 1140 1141 28840 28838 28744 36591 28851 28941 31381 }
809 { 1031 1032 1033 1034 1035 31209 1037 1038 1039 1040 1041 1042 1043 1134 1135 1136 1137 1138 1165 1139 36582 1166 1140 1141 28840 28838 28744 36591 28851 28941 31381 }
Path IDPath ID { Sequence of Link IDs }{ Sequence of Link IDs }
Trip Data TableTrip Data TablePath TablePath Table
• Allows more control to vehicle routing.
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• There is a big gap between the travel demand world and the simulation world.
• We hope that our approach can tighten this gap.
• There is a need for a dynamic ODME to help calibration.
• We believe that the path-based routing is the right trend for traffic simulation.
Guidance
A Hybrid Model for CSMPA Hybrid Model for CSMP
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• Base Case• Dynamic User Equilibrium
• Short-term Impacts• Fixed paths (from Base Case)
• Long-term Impacts• New Dynamic User Equilibrium
Guidance (2)
A Hybrid Model for CSMPA Hybrid Model for CSMP
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• Hybrid simulation is a new tool to model corridors.
• The proposed approach is quite a unique technique to integrate travel demand models with simulation models.
• Understanding traffic assignment is crucial for corridor studies; we need a good user-manual.
Conclusions
A Hybrid Model for CSMPA Hybrid Model for CSMP
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Thank YouThank You
scp@dksassociates.comscp@dksassociates.com
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