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Integrated Dynamic Traffic and Transit Assignment Considering Traffic Congestion and a Schedule-Based Transit Network . May 8, 2011 (2:45PM~4:30PM) 13 th TRB National Transportation Planning Applications Conference Hyunsoo Noh, Alireza Khani , Mark Hickman, and Yi-Chang Chiu - PowerPoint PPT Presentation
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Integrated Dynamic Traffic and Transit Assignment Considering Traffic Congestion and
a Schedule-Based Transit Network
May 8, 2011 (2:45PM~4:30PM)13th TRB National Transportation Planning Applications Confer-
ence
Hyunsoo Noh, Alireza Khani, Mark Hickman, and Yi-Chang Chiu
The University of Arizona
Contents
• Background and Motivation
• Dynamic Traffic Assignment Models
• Transit Assignment Model
• Integration Models
• Application (Rancho Cordova, CA)
• Result
• Conclusion
Background and Motivation
• Activity-based model
• Tour-based model
• Sequential activity choice model
• Necessity of time-dependent traveler model
• Necessity of intermodal architecture
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Dynamic Traffic Assignment Model
• DynusT and MALTA*
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
AMS TDSP
DynusTMALTA
Relative-Gap Epoch
Assignment
GUI and Data Analysis
HTDSP
Relative-Gap Assignment
GUI
Transportation Operational PlanningReal-Time Traffic Operations
Postgres
DemandDemand
Network Partitioning and
Load Balance
Evac/Inci
Value Pricing
ITS
Intermodal
Work Zone
Ramp Metering
VISSIM Integration
* MALTA: Multi-resolution Assignment and Loading of Transportation Ac-tivities
Flexible Assignment and Simulation Tool for Transit and Intermodal Passengers (FAST-TrIPs)
• FAST-TrIPs• Frequency-based model• Schedule-based model
• Frequency-based Assignment• “Strategies” assignment approach• Headways for 10 minutes or less, or without the schedule
• Schedule-based Assignment• Route (specifically run) for transit schedule• Preferred arrival time (PAT) • Logit-based SUE model
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Schedule-based Assignment Model
• Link-Based Time-Expanded (LBTE) Schedule Network
A B C Des
e1
e2 e7
e8
e10
e12
et
[25, 7]
Route 1Route 2
Route 3Route 4
[7, 1] [6, 28]
[4, 11]
[4, 15]
[10, 13]
[cost, departure time]
e3 [8, 5]
e4 [7, 10] e9[5, 16]
e6[6, 19]e5 [6, 8]
e14[10, 43]
e11[4, 21]
[10, 23]e13
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
• Transit Network• Link-based schedule network• Google's General Transit Feed Specification (GTFS)
• Transportation Network• Access link
GTFS Stop Time
Trip IDArrival Time
Departure TimeStop ID
Stop SequenceTrip Headsign
…
GTFS Stop
Stop LatitudeStop Longitude
Stop CodeStop ID
…
Transportation Node
Node IDNode Latitude
Node LongitudeNode Type
…
Link-based Schedule
Link IDNode INode J
Link Type*Link Mode
Dep/Arr Time…
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
* OD, Access, and Transit links
Integration Model 1
• Tour-Based Integration Tour-Based Model(Data: Trip, Tour)
traveler.dat(Auto, Transit,
and Auto-Transit)
DynusT
Auto Assignment
Transit (Intermodal)Assignment
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Intermodal Path
FAST-TrIPs
Auto – Transit
Simulation
PassengerSimulation
Auto, Transit Skim
Integration Model 2 (session 6)
• Activity Choice Model
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Activity-Based Model(O/D, Mode at Time Intv.)
Auto Assignment Transit (or Intermodal) Assignment
MALTAAuto + Transit Vehicle
Simulation
Re-Assignmentfor Missing
Arrival(Auto,Passenger)
Auto SkimTransit
(or Intermodal)Skim
Day-to-Day Day-to-Day
Convergence(Auto Assignment)
Convergence(Transit Assignment)
Auto Path(Intermodal)
FAST-TrIPs
FAST-TrIPs
MALTA
MALTAPassenger Simulation
FAST-TrIPs
Simulation Structure
Simulation of Vehicle
Movements(Auto, Transit) Passenger Simulation
Passenger arrival time, stop, boarding behavior
Passenger experience
Passenger arrival from auto
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
DynusT | MALTA
Transit Passenger Assignment
Activities and travel requestse,g,, OpenAMOS, DaySim
Google GTFS and/or transit line information
Transit and intermodal trips Routes, stops, schedulesAuto trips
Dwell time, Hold
Transit vehiclearrival
Transit Passenger Skims and Statistics
FAST-TrIPs
Bus # 2321Pass. # 12Pass. # 25Pass. # 47
STOP STOPBus # 2322Pass. # 87Pass. # 19
…
Stop # S21Pass. # 24Pass. # 99
…
Stop # S33Pass. # 76Pass. # 59Pass. # 41
Transit vehicleapproach
Need to stop
Auto Skims
Auto part of Intermodal
Missing-a-bus New Path
Vehicle Skims
Application
• Auto Network (Rancho Cordova, CA)
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Road Network
Number of NodesNumber of Links
Number of ZonesNumber of Parcels
Number of Park-&-Ride
448 850 12120,486 3 (LRT)
Folsom Blvd & Mather Field Rd(cap.: 235)
Butterfield Way & Folsom Blvd(cap.: 406)
Trade Center Dr & Sunrise Blvd LRT(cap.: 487)
http://www.sacregion511.org/rideshare/parkandride/
• Transit Network (Rancho Cordova, CA)
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
21
28
72
74
75
(LRT Gold line)
Transit Network
Number of StopsNumber of Trips
Number of Stop TimesNumber of Routes
163 1,20616,1175 Bus + 1 LRT
21
28
507
74
75
72
21 72 74 75 507
74 507
Folsom Blvd & Mather Field Rd
Trade Center Dr & Sunrise Blvd LRT
Butterfield Way & Folsom Blvd
Park-&-Ride Facility
Result
• Scheduled Hyperpath
Mode: Walk-Transit-Walk
75
507
Parcel # 499638PAT: 7:45 ~ 8:00
Parcel # 562770Folsom Blvd & Sunrise Blvd
On: 336347,7:28:00,7066Off: 336347,7:34:00,7069
Folsom Blvd & Mather Field Rd
On: 335305,7:40:00,370Off: 335305,7:48:00,9923/5290
On: 344131,7:44:00,370Off: 344131,7:52:00,5290/9923
9923 | FEMOYER ST & SCHIRRA AVE
MATHER BLVD & BLECKLEY ST | 5290
Access time : 2.92 Mins.
Transfer time : 0.85 Mins.
Background DTA Model FAST-TrIPs Integration Model Application Result f Conclusion
• Scheduled Intermodal Hyperpath
Mode: Auto-Transit-Walk
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
9923 | FEMOYER ST & SCHIRRA AVE
MATHER BLVD & BLECKLEY ST | 5290
On: 335305,7:40:00,370Off: 335305,7:48:00,5290/9923
On: 344131,7:44:00,370Off: 344131,7:52:00,5290/9923
75
Folsom Blvd & Mather Field Rd
Access time : 4.86 Minutes.
Parcel # 499638PAT: 7:45 ~ 8:00
Parcel # 562770
• Simulated Passenger Paths
Mode: Walk-Transit-Walk
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Background traffic: 72,501 VehiclesTime: 6~10AM
Parcel # 499638PAT: 7:45 ~ 8:00
Parcel # 562770
Planned path for PassID 102 :444 (7:24AM) - walk - LRT Gold – Transfer at stop 7069 to Bus Route 75 - Alight at 5290
At time 447 (7:27AM)PassID 102 transferred to 7066 and got on 345158
MATHER BLVD & BLECKLEY ST | 5290
At time 453 (7:33AM) vehID 345158 arrived at 7069 passID 102 got off 345158 At time 454 (7:34AM) PassID 102 transferred to 370At time 459 (7:39 AM) PassID 102 got on 335305At time 467 (7:47 AM) vehID 335305 arrived at 5290 PassID 102 got off Arrived at destination
75
• Simulated Intermodal Hyperpath
Mode: Auto-Transit-Walk
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Parcel # 499638PAT: 7:45 ~ 8:00
Parcel # 562770
Background traffic: 72,501 VehiclesTime: 6~10AM
MATHER BLVD & BLECKLEY ST | 5290
75
At time 458 (7:38AM) PassID 102 transferred to 370At time 459 (7:39 AM) PassID 102 got on 335305At time 467 (7:47 AM) vehID 335305 arrived at 5290 PassID 102 got off Arrived at destination
Planned path for PassID 102 :454 (7:34AM) - Auto – Transfer at stop 7069 to Bus Route 75 - Alight at 5290
Conclusion
• More realized and integrated intermodal transportation among auto, transit vehicles and passengers
• Integration between activity model and DTA model
• On-going Works– “Missing-a-bus” – Convergence between different models– Full integration of transit, auto, and passenger assign-ment with activity models
Background DTA Model FAST-TrIPs Integration Model Application Result Conclusion
Acknowledgement
These projects are funded by • FHWA Exploratory Advanced Research (EAR) Program • SHRP2 C-10BOur collaborators are
FHWA EAR Program SHRP2 C-10B
Thank you !