1. A STATE-WIDE ACTIVITY-BASED
MODEL FOR MARYLAND
(MSTM 2.0)

2. Project Team Lead Agency: Maryland State Highway Administration (SHA)
SHA Project Manager: Subrat Mahapatra
Partner Agency: Baltimore Metropolitan Council (BMC)
BMC project Manager: Charles Baber
Technical Team Lead: National Transportation Center at the University of Maryland (PI: Lei Zhang)
Technical Team Members: Cambridge Systematics (Tom Rossi, Feng Liu), University of Memphis (Sabya Mishra)

3. Key Policy Questions Long distance trips from and to Maryland
Corridor management policies
Multimodal congestion mitigation strategies
The importance of freight to Maryland
The importance of rail and other transit modes
Economic development and cumulative impact assessment
Road pricing/managed lanes
Behavioral implications of non-recurrent congestion and unreliability
Environmental issues including energy consumption and air pollution emissions

4. Model Capabilities Disaggregate demand at all levels
Participation decisions for activities
Chaining of trips according to temporal and spatial constraints
Decisions based on lifestyle choices
Fine time resolution of the demand for the 24 hours day
Value of Travel Time Savings for each traveler, and activity type
Activity-based Accessibility measures

5. MITAMS Three levels: Statewide: MSTM 2.BMC MPO InSITE ABM
3.Subarea/Corridor
SILK AgBM
All integrated with DTA
ABM: Activity-Based Model
AgBM: Agent-Based model

6. Existing Works MSTM 2.0 leveraged the following existing works:
BMC InSITE Activity-based Travel Demand Model
SHRP2 C10 Maryland Integrated Travel Analysis Modeling System (MITAMS)
SHRP2 C20 Freight Demand Modeling and Data Improvement Strategic Plan
NTC2014-SU-R-21 U.S. National and Inter-Regional Travel Demand Analysis: Person-level Microsimulation Model and Application to High-Speed Rail Demand Forecasting

7. Unique Characteristics of Maryland
The majority of Maryland’s population lives in the Baltimore-Washington area
significant proportion of the state’s planning activities occur within Baltimore-Washington area
Significant amount of trips between Maryland and Northern Virginia jurisdictions
The Eastern Shore is connected geographically and economically with Delaware and parts of Virginia
Western Maryland is linked significantly to other states

8. Study Area

9. Overview of the Model Structure

10. InSITE Activity-Based Model

11. Short Distance Challenges
Extending InSITE to non-BMC area
Defining the Halo area
Data inventory for non-BMC area
Introducing segmentation for non-BMC area
Calibration-Validation
Integrating with the long distance and the freight model

12. Micro-Simulation Long Distance Model
Tour Level Procedure and Model Components
Long Distance Travel Demand Model System

13. Long Distance Challenges
Definition of long distance travels to separate them from short distance travels
Run time to simulate the entire US population
Converting quarterly demand into daily demand
Disaggregation from MSA level into MSTM TAZ level
Calibration-validation

14. Tour-based Freight Model

15. Freight Challenges
Extending the Urban Tour-based Commercial Vehicle Model to the whole state
Integrating with Passenger models
Data inventory for non-BMC area
Introducing segmentation for non-BMC area

16. Technology Transfer
Agency involvement at all stages of model development
Detailed documentation and user guide
On-site support for model installation and applications
Hands-on training workshop series

17. Next Steps Designing applications to show model’s unique capabilities
Integrating the models with Dynamic Traffic Assignment (DTA)
Visualizing model outputs by UMD CATT Lab
Incorporating the models into agency business processes
Integrating reliability measures into the models

18. Questions and Comments
Agency Point of Contact
Subrat Mahapatra
Transportation Engineering Manager
Maryland State Highway Administration
Phone:
Technical Point of Contact
Dr. Lei Zhang
Herbert Rabin Distinguished Professor of Engineering
National Transportation Center, U. of Maryland
Phone: