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• Maryland Department of Transportation
• Maryland State Highway Administration
• Maryland Transit Authority
• Maryland Toll Authority
• Maryland Aviation Administration
• National Science Foundation
• U.S. Department of Homeland Security
• European Commission of the European Union
• I-95 Corridor Coalition
• Federal Aviation Administration
• U. S. Department of Defense
• U. S. Army Corps of Engineers
• Federal Highway Administration
• National Aeronautics and Space Administration (NASA)
• U.S. Department of Transportation
Mouse over the table below to pause it. The slideshow begins with a
random project each time it is loaded. When it reaches the end of the projects from the point it starts,
it reverses quickly and then starts over again from the actual beginning of the project list.
PI: Gang-Len Chang
Co PI: Sung Yoon Park
Sponsor: SHA
Description: Ocean City, MD is a popular vacation destination.
This system monitors two routes (US50, MD90) to Ocean City using 22 detectors
to predict and display travel time every minute. |
PI: Cinzia Cirillo
Sponsor: Tier 1 University, Transportation Ctr, US Dept of Transportation
Description: This research program proposes to develop a modeling
framework for vehicle ownership in the State of Maryland. The modeling system aims to
produce the tools needed to understand and predict consumers’ preferences on vehicle
ownership, as a function of socio-demographic, economic, transportation system and land
development characteristics. This framework can be used to test the outcomes of various
future scenarios, including reaction to fuel efficiency, levels of congestion, land use
policies, and changing economic conditions. |
PI: H.Mahmassani
Co-PI: Elise Miller-Hooks
Sponsor: Maryland Department of Transportation
Description: The effort assessed the potential logistic and economic
impacts on freight movements in Montgomery and Prince George’s counties, as well as
surrounding areas that would result from the construction of the proposed Intercounty
Connector, or ICC. This effort involved the cooperation of Dr. Larry Bodin.
More... |
PI: Lei Zhang
Sponsor: Federal Highway Administration
Description: The proposed Multimodal Transportation
Analysis Framework (MTAF) at the U.S. Department of Transportation will provide
multimodal interregional origin-destination passenger travel data and enable
national-level transportation policy analysis.
More information... |
PI: Paul Schonfeld
Sponsor: USDOT through the Center for Integrated Transportation System Management
Description:
Freight transportation systems may rely on transfers at major hub terminals such as ports,
airports and rail yards to avoid the need for direct routes connecting all origin-destinations
pairs and to concentrate cargos on major routes larger, faster and/or more efficient vehicles.
If the transfers are well coordinated we can reduce delays and storage requirements in terminals,
while achieving other improvements in costs, service quality and environmental impacts. A series
of UMD projects in this area developed preplanning and real-time control methods for optimizing
the design and operation of such systems. |
PI: Ali Haghani
Co-PI: Behrang Hejazi
Description:
The research focused on trucking operations of less-than-truckload (LTL) trucking companies.
It attempts to use real-time information in decision making for LTL carriers in the
dynamic environment.
More Information... |
PI: Cinzia Cirillo
Sponsor: Mid-Atlantic University, Transportation Ctr,
US Dept of Transportation
Description: In this research project we propose to incorporate customer
choice behavior in the context of revenue management (RM) for railway industry. In order
to estimate passenger demand model we use real booking data for Acela Express, which is
the Amtrak high speed rail service that operates along the Northeast Corridor between
Washington, D.C. and Boston. The advance booking model estimated is then used to formulate
a fare optimization problem. |
PI: Elise Miller-Hooks
Sponsor: Maryland State Highway Administration
Description: Modeling techniques and results from prior calibration
and other efforts will be directly applied in creating a set of simulation models
(including existing conditions and alternative designs) of all of I-270, including
portions of I-495 in both Maryland and Virginia.
More... |
PI: Lei Zhang
Sponsor: Maryland State Highway Administration
Description: This proposed research project has three main objectives:
1. Define sustainability indicators that are relevant to multimodal
highway improvement projects/programs.
2. Develop a high-level planning Model Of Sustainability
And Integrated Corridors MOSAIC) that helps the State Highway Administration integrate the identified
sustainability indicators into the long-range transportation planning process.
More information... |
PI: Paul Schonfeld
Sponsor: U.S. Army Corps of Engineers, U.S. Dept. of Agriculture;
U.S. Geological Survey through the Maryland Water Resources Research Center
Description:
In a long series of projects (almost continuously from 1987 to the present) various
methods for analyzing inland waterways have been developed at UMD. These started with
queuing methods for analyzing delays at waterway locks and extended into very detailed
simulation and optimization models for analyzing various aspects of waterways. These include
methods for evaluating capital and operational improvements, demand analysis, reliability
analysis, investment planning and scheduling, maintenance scheduling, and detailed control
of lock operations. |
PI: Gang-Len Chang
Co PI: Sung Yoon Park
Sponsor: SHA
Description: Variable speed limits can improve traffic safety
by accommodating dynamic traffic conditions, mitigating traffic congestion; and
lowering the negative impact of inclement weather (fog, snow, ice etc). |
PI: Elise Miller-Hooks
Sponsor: Tier 1 University, Transportation Ctr, US Dept of Transportation
Description: This research effort will result in mathematical tools (i.e. a
stochastic, integer program and methodology for its solution) that will explicitly recognize
that post-disaster performance of transportation networks depends not only on the inherent
capability of the system to absorb externally induced changes, but also on the actions that
can be taken in the immediate aftermath of the disaster to restore system performance.
More... |
PI: Lei Zhang
Co-PI: Cinzia Cirillo
Sponsor: Maryland State Highway Administration
Description: This project has four main objectives:
1. Summarize current and emerging planning and policy issues in Maryland that
the Maryland Statewide Transportation Model (MSTM) needs to address and identify
the types of improvements to MSTM that would improve its ability to address these issues.
2. Review advanced four-step and tour-/activity-based travel models in other
States and MPOs, synthesize their data requirements and applications.
More information... |
PI: Paul Schonfeld
Sponsor: National Science Foundation, Maryland State Highway Administration
Description:
In this series of projects methods have been developed for comprehensively evaluating
candidate highway alignments by automatically processing data from geographic information
systems (GIS's) and then optimizing 3-dimensional alignments using artificial intelligence
(AI) heuristics. Factors considered in great detail for a road’s life cycle include land
availability and cost, earthwork , operation and maintenance costs, environmental impacts,
safety, and user time value. The combinations of objectives and constraints applied in
optimizing alignments are essentially unrestricted. When existing roads are crossed the models
can optimize several types of interfaces (conventional intersection, roundabout, diamond
interchange, etc.) and automatically select the preferred one. |
PI: Ali Haghani
Description:
The objective of this research project was to develop a prototype automated computerized
system to perform queries on an existing right-of-way plat database for Office of Real
Estate at Maryland State Highway Administration.
More Information... |
PI: Gang-Len Chang
Co PI: Xin Zhang, Hong Zheng, Zun Wang
Sponsor: Department of Homeland Security
Description: The system, named Baltimore Multimode Evacuation
System (BMES), includes the entire Baltimore metropolitan area. Passenger
cars, pedestrians, and public transit system are mobilized to evacuate
in the system in a simulated emergency situation. |
PI: Cinzia Cirillo
Sponsor: Maryland State Highway Administration
Description: The activity-based approach for travel demand forecasting,
which first emerged as an academic idea in the late 1960s, recognizes that travel demand
is derived from individuals’ and businesses’ needs to participate in
spatially-dispersed activities. The project intends to summarize current and emerging
planning and policy issues in Maryland and identify the most cost-effective approach
to improving the current statewide model based on SHA’s planning needs. |
PI: Elise Miller-Hooks
Sponsor: Mid-Atlantic University, Transportation Ctr, US Dept of Transportation
Description: This research effort seeks to develop a network modeling
framework to support quantitative assessment and design of vehicle sharing systems based
on probabilistic information on demand, modal preferences, and the existing transit system
configuration. A detailed representation of demand and supply processes and their interaction
will be developed. More... |
PI: Lei Zhang
Co-PI: Qing Shen
Sponsor: Maryland State Highway Administration
Description: This project will:
1. Establish mathematical formulas and analytical models linking both
passenger vehicle miles travelled/VMT growth rate and truck miles
travelled/VMT growth rate to air quality nonattainment destinations by US EPA;
2. Establish mathematical formulas and analytical models linking both passenger
vehicle miles travelled/VMT growth rate and truck miles travelled/VMT growth
rate to various land use policies.
More information... |
PI: Paul Schonfeld
Sponsor: U.S. Dept. of Defense
Description:
In this project conducted jointly with Morgan State University and Virginia
Tech methods are being developed for evaluating and optimizing the movements of
autonomous vehicles engaged in search, rescue, supply and other military missions.
Heuristic algorithms developed to date optimize the paths and speeds of vehicles
while considering the terrain, vehicles performance characteristics and various
hazards that are tracked in a geographic information system (GIS). A capability
to simulate the interactions of multiple robotic vehicles on opposing teams is
being developed. The developed simulation model may eventually be used to evaluate
the characteristics of various types of vehicles, sensors and control policies. |
PI: Ali Haghani
Co-P.I.: Abbas M. Afshar
Description:
An optimization model for Emergency Evacuation Planning is proposed in this research
along with a simulation-optimization framework to solve for the system optimal evacuation plan.
The model simultaneously solves for the choice of destination, evacuation route,
and departure time for all evacuees from given origins.
More Information... |
PI: Elise Miller-Hooks
Sponsor: National Science Foundation
Description: This research effort recognizes that the post-disaster
performance of transportation networks depends not only on the inherent capability of
the system to absorb externally induced changes, but also on the actions that can be
taken in the immediate aftermath of the disaster to preserve or restore system performance.
More... |
PI: Lei Zhang
Sponsor:U.S. DOT University Transportation Center Program: MAUTC
Description:
This project will develop an Economic, Land Use and Transportation Network Growth
(ELUNG) model for the Washington D.C. Area, and demonstrate the feasibility of
incorporating transportation investment and joint equilibrium-evolutionary
analysis in integrated urban systems modeling.
More information... |
PI: Paul Schonfeld
Sponsor: USDOT through the Mid-Atlantic Universities Transportation Center
Description:
This project explores possible synergies and opportunities for better integrating conventional
transit services (having fixed routes and schedules) with paratransit services such as Dial-A-Ride.
In particular, we consider how the excess capacity of conventional systems during off-peak
periods might be transformed into higher-quality paratransit service by shifting vehicles
and drivers among these service types. We also consider how off-peak service improvements might
reduce peak demand. Optimization models are being developed for shifting resources among
service types in response to changes as well as for using paratransit services as feeders
to conventional bus and rail transit services. |
PI: Lei Zhang
Sponsor: Federal Highway Administration
Description: Within the scope of this project, the UMD research team will:
1. Identify and summarize current practices, in both the US and abroad, in
integrating highway, rail, and air traffic models into a single multimodal modeling
approach. Discuss how trip generation and distribution estimates, which each
mode-specific model computes, are intergraded. Also, discuss whether/how
mode-specific estimates are made consistent and account for estimates of travel
on other modes.
More information... |
PI: H.Mahmassani
Co-PI: Elise Miller-Hooks
Sponsor: Maryland Transit Authority via State Highway Administration
Description: This project addressed the issue of parity “of contractual burdens and
undertakings” among service providers in the delivery of paratransit service by the Maryland Transit
Administration (MTA) in the Baltimore area.
More... |
PI: Paul Schonfeld
Sponsor: Maryland State Highway Administration
Description:
In a series of studies conducted since 1991 researchers at the Univ. of Maryland have developed
methods for planning and scheduling highway repaving operations in ways that minimize the costs
of motorist delays and accidents along with the costs of road resurfacing. These methods can
optimize decisions such as (1)how often various roads should repaved; (2)what the pavement quality
or durability level should be in various locations; (3)how road networks should be subdivided into
work zones; (4)how many lanes should be closed at what times; (5)how long the work zones should be; (6)how much of the work should be done at night or during off-peak periods; (7)should auxiliary lanes
be closed off to assist repaving operations; (8)in what situations do the savings to motorists
justify the additional costs of speeding up the work; and more. |
PI: Lei Zhang
Sponsor: U.S. DOT UTC Program: CITSM
Description:
While the nation as a whole and many states engage in the debate of sustainable transportation
financing options, answers to the following questions will provide critically important
input to this debate and help decision-makers forge effective and equitable financing policies:
1. What is the true revenue-generating potential of alternative policy portfolios (higher gas
tax, vehicle mileage fee, green transportation taxes, congestion pricing, etc.)?
More information... |
PI: Elise Miller-Hooks
Co-PI: Rakha, (Cirillo on UMD portion)
Sponsor: United States Department of Transportation
Description: The transportation sector plays a significant role in GHG production.
This regional effort, involving researchers from the University of Maryland and Virginia Tech and
cost-shared from Maryland State Highway Administration (SHA), MAUTC and NAVTEQ, will seek to develop:
1.Energy and emission models for new vehicle technologies including hybrid and low emitting vehicles,
2.Routing strategies that incorporate energy and environmental impacts,
3.A prototype system to display vehicle fuel consumption in real-time,
4.Tools for estimating the carbon footprint of major activities undertaken by or on behalf of
such transportation agencies as the Maryland State Highway Administration (SHA) of the Maryland
Department of Transportation or Virginia Department of Transportation (VDOT)...
More... |
PI: Paul Schonfeld
Sponsor: Federal Aviation Administration through the National Center of
Excellence for Aviation Operations Research (NEXTOR)
Description:
A team of researchers from the Univ. of Maryland, the Univ. of California at Berkeley, the
Massachusetts Institute of Technology, Virginia Tech University and George Mason University
along with the private companies Ventana and LMI has worked to develop a macroscopic but very
comprehensive model of the U. S. aviation system intended for analyzing a great variety of policies
operational issues. This Strategic Simulator model is based on a System Dynamics framework. The group
of students directed by Dr. Schonfeld worked on estimating various relations and developing several
model components, including some for airport capacity and delays, for enroute airspace capacity and
delays, for air traffic controller requirements and for organizing the airspace into controllable
sectors. |
PI: Lei Zhang
Sponsor: UMD General Research Board
Description:
This project will develop an agent-based simulation model of transit network evolution
over time that explicitly considers the continuous feedback between transit investment
and transit demand. The transit network itself changes over time as investment decisions
are endogenous. This model will allow analysts to study the effectiveness of current and
alternative transit investment strategies, as they are repetitively implemented on a transit
network over a long period of time.
More information... |
PI: Elise Miller-Hooks PI on subaward and main contract
Sponsor: United States Department of Transportation
Description: Strategies to better manage fleets under demand uncertainty were developed
in this research effort. These strategies involve anticipative fleet redistribution that operators
initiate to correct short-term demand asymmetry (since flow from one station to another is seldom equal
to flow in the opposite direction). When these strategies were tested on the Singapore car sharing program,
the system operated at higher reliability levels and serviced more demand than would be possible
without capital improvements to the system.
More... |
PI: Paul Schonfeld
Sponsor: Maryland Port Administration; U. S. Dept. of Transportation through
the Center for Intermodal Freight Transportation
Description:
In two projects UMD researchers developed methods for analyzing the processing and storage of
containers in ports. Queuing and optimization methods were used for jointly analyzing decisions
such as (1) the number and characteristics of berths provided; (2) the numbers of workers, cranes
and other yard equipment that should unload and load various ships; (3) the schedules and procedures
for loading unloading; and (4) the management of storage facilities and assignment of containers
to them in ways that minimize handling and storage costs. Some of the methods developed for
optimizing container storage in ports have been extended to parking management at airports. |
PI: Lei Zhang
Sponsor: U.S. DOT UTC Program: MAUTC
Description:
Transportation pricing and investment decisions are often made by multiple decision
agents in a region (e.g. State Departments of Transportation, Metropolitan Planning
Organizations, Transit and other modal agencies, Local government agencies). In other
words, transportation supply decisions are made by multiple agents often pursuing self-interests,
which often result in efficiency loss in the transportation system. This is defined as
the Multi-Agent Transportation Supply (MATS) problem.
More information... |
PI: Elise Miller-Hooks PI on subaward (co-PI on main contract)
Sponsor: Maryland State Highway Administration
Description: In this study, the potential impact of violations related to HOT lane access
and vehicle occupancy on traffic performance in managed and GP lanes was quantified for an existing
roadway segment with single HOV lane and proposed HOT lane facility conversion. Techniques were developed
for modeling violation behavior in concurrent flow lane operations within a widely used microscopic traffic
simulation tool. The significance of the violation impact on traffic performance for future managed flow lane
facility performance and benefit analyses was assessed in extensive and systematically designed experiments.
More... |
PI: Gang-Len Chang
Co PI: Yang Lu, Xianfeng Yang
Sponsor: SHA
Description: UAID stands for Unconventional Arterial Intersection Design
whose aim is to improve the intersection performance by using innovative geometric designs. |
PI: Lei Zhang
Sponsor: U.S. DOT University Transportation Center Program: OTREC
Description:
The interaction between land use and transportation has long been the central issue in
urban and regional planning. Models of such interactions provide vital information to
support many public policy decisions, such as land supply, infrastructure provision, and
growth management. This project examines the land use-transportation interaction from an
evolutionary perspective—
More information... |
PI: Elise Miller-Hooks
Sponsor: Maryland State Highway Administration
Description: Freeway service patrols (FSPs) are continuously roving vehicles whose
purpose is to quickly respond to incidents and to provide necessary assistance to drivers of disabled
vehicles or vehicles involved in a collision. The goal of most FSP programs is to mitigate the impact
of traffic incidents on traffic flow along these freeway segments. An FSP program, the Highway
Emergency Local Patrol (H.E.L.P.) program, exists in the Lower Hudson Valley region of New
York. This study considered the operations of service patrol vehicles belonging to the H.E.L.P.
program along a portion of the I-95 Corridor. The primary goal of this study was to quantify the
benefits of the H.E.L.P. program in terms of resulting reduction in congestion, secondary incidents,
fuel consumption, and related environmental impact of congestion.
More... |
PI: Ali Haghani
Co-PI: Masoud Hamedi
Description:
This research deals with the containership stowage planning problem which is the problem
of stacking containers on different bays of a containership that visits several ports during a
voyage. The proposed optimization framework takes into account the stability of the vessel,
operational constraints and utilization of quay carnes.
More Information... |
PI: H.Mahmassani
Investigator: Elise Miller-Hooks
Sponsor: Center for Intermodal Freight Transportation
Description: This research effort proposed a new index for assessing vulnerability
of the freight transport network from the perspective of recovery operations. Such indices will
measure the ability of the network to adapt to changing circumstances (such as a disaster) and
return to its normal state of operation post-disaster. A methodological framework and specific
computational steps for computing this measure was developed.
More... |
PI: Lei Zhang
Sponsor: U.S. DOT University Transportation Center Program: OTREC
Description:
The interaction between land use and transportation has long been the central issue in
urban and regional planning. Models of such interactions provide vital information to
support many public policy decisions, such as land supply, infrastructure provision,
and growth management. This project examines the land use-transportation interaction
from an evolutionary perspective More information... |
PI: Elise Miller-Hooks
Co-PI: H.Mahmassani
Sponsor: Institute for Transport Economics in Oslo, Norway
Description: REORIENT was a Concerted Action funded by the European Commission
within the Sixth Framework Programme that addressed Strategic Objective 3.3.1 'Research to Support
the European Transport Policy, Research Domain 3.1, Implementation of Change in the European Railway
Area'. The REORIENT project examined the effects of the EU's legislation on rail interoperability,
which is transforming the European rail freight industry from closed, monopolistic, nationally-oriented
businesses insulated from market realities such that new players and newcomers both from the rail
and logistics industry can find new opportunities, and from nationally-fragmented railway subsystems
into an internationally integrated and interoperable pan-European system.
More... |
PI: Cinzia Cirillo
Sponsor: Tier 1 University,
Transportation Ctr, US Dept of Transportation
Description: This project proposes to investigate the acceptability of
HOT lanes and the willingness to pay for their use from the traveler perspective.
In particular, we aim at formulating a model system that simulates individual behavior
in response to HOT lanes on I-495 in Maryland. The project will utilize state-of-art
and advanced discrete choice models to calculate the number of riders that will be
willing to pay to use HOT lanes, the distribution of the willingness to pay and the
main factors affecting their choices. |
PI: Elise Miller-Hooks
Sponsor: Federal Highway Administration via State Highway Administration
Description: This study assessed the changes needed to signal timing to facilitate
evacuation and response to a disaster in an urban area, and provided technical guidance to assist state
and local transportation agencies in developing appropriate signal timing plans.
More... |
PI: Lei Zhang
Sponsor: Kiewit Center for Transportation & Infrastructure
Description:
With an increasing number of private toll road projects constructed or proposed in the U.S. through various forms of public private partnerships, and with more states removing legal constraints on the entry of private roads into the existing public road system, there are imperative needs to analyze the welfare and financial implications of utilizing private sector capitals in road financing for both public policy decisions and private investment decisions.
More information... |
PI: Lei Zhang
Sponsor: UMD Minta Martin Research Fund
Description:The objective of this research is to develop an agent-based simulation model
to analyze the impact of congestion management strategies at a congested airport
on airline operations, neighboring airports, passenger choices, and social
welfare. This modeling tool should have the following capabilities:
1. Provide information to airports, airlines, and regulators on the impact of
airport congestion management;
More information... |
PI: Elise Miller-Hooks
Co-PI: Cirillo
Sponsor: Maryland State Highway Administration
Description: The transportation sector plays a significant role in GHG production.
Agencies, such as state departments of transportation, command very large fleets of vehicles,
including, for example, fleets of snow plows and gritting trucks, and manage enormous construction
projects involving heavy equipment. The objectives of this research effort are to: 1.identify and/or
develop tools for estimating the carbon footprint of major activities undertaken by or on behalf
of such transportation agencies, with a particular focus on the activities of SHA, and
2.formulate potential strategies for reducing GHG emissions within the major construction and
fleet management activities conducted under the auspices of such agencies.
More... |
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