Department of Transportation Intelligent Transportation Systems Joint Program Office The Smart/Connected City and Its Implicat ions for Connected Transportation – Final 1 Executive Summary This white paper describes smart/connected cities and outlines their potential for interfacing with the emerging connected transportation environment.
The transportation systems around which the modern world has been built are on the verge of a significant transformation. Intelligent transportation systems (ITS) are making driving and traffic management better and safer for everyone.
Transportation typifies the FutureStructure framework. (FutureStructure is a sister publication of Governmet Technology.) Soft infrastructure — the realm of concepts, policies and legislation — is rapidly evolving to accommodate the demand for global investment in hard transportation infrastructure. Technology is bridging the two as vehicles and the infrastructure on which they operate become increasingly connected.
Traffic and population growth create demand for more transportation infrastructure, but many jurisdictions don’t have sufficient money or space to build more roads and rail.
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New transportation technologies are emerging to meet these challenges, including connected and autonomous vehicles, alternative fuels, keyless fleet management and traffic analytics, as well as local zoning and planning policies that support transit-oriented development. New technology for on-road communications will dramatically change how vehicles operate and provide information and capabilities for better, real-time traffic management — if the necessary network infrastructure is in place.
ITS is poised to transform transportation into a connected, dynamic component of the city-as-a-system. Perhaps more importantly, the greater ease in moving about will have a positive impact on quality of life and commerce for residents, visitors and local businesses.
The Promise of ITS
“Cities are struggling with transportation today and will struggle even more in the future,” said Bill Ford, Jr., executive chairman of the Ford Motor Company, while addressing the ITS World Congress in Detroit in September 2014. “We need to redefine what mobility is for the coming century.”
According to the U.S. Department of Transportation, ITS improves transportation safety and mobility by integrating advanced, wireless communications technologies into transportation infrastructure and vehicles. The purpose of ITS is to process and share information that can prevent vehicle collisions, keep traffic moving and reduce environmental impacts.
Coordinating traffic signals, giving signal priority to transit lanes, electronic information signs and variable speed limit signs are all part of the burgeoning ITS industry. Also part of ITS is the ability to automatically distribute real-time traffic data to websites, social media feeds, mobile apps, and local TV and radio stations.
“Instead of a bunch of independent systems on the local, national or even global level, ITS creates a transportation network that works like the Internet, where everything is connected, but also open for standards-based communication, which reduces costs and creates value for everyone involved in managing traffic,” said David Pickeral, who leads the Industry Smarter Solutions Team for Transportation at IBM.
Autonomous and Connected Vehicles
Perhaps the most anticipated element of ITS is the connected vehicle. The imminent arrival of connected vehicles is one reason for new visions of transportation within a metro area.
Connected technology focuses on wireless communication: vehicle-to-vehicle (V2V), vehicle-to-pedestrian (V2P) and vehicle-to-infrastructure (V2I), collectively referred to as V2X. Intended primarily to improve safety, V2V technology allows cars to continually communicate to the vehicles around them so each are aware of the others’ speed, heading and direction. Connected vehicles also help in recognizing and alerting drivers to dangerous situations. By adding communication points in hazardous road areas and intersections, V2I technology extends crash-reduction capabilities by allowing automatic control of signal timing, speed management, and operation of transit and commercial vehicles.
“The connected vehicle technologies are ready,” said Suzanne Murtha, senior program manager for intelligent transportation initiatives at Atkins Global. “Now it’s a matter of governments capturing and sharing data about real-time, on-the-street traffic conditions so drivers can make better choices.”
A different but related technology is that of autonomous vehicles, perhaps the most famous example of which is the Google self-driving car. Autonomous cars use a combination of LIDAR (similar to sonar but with laser light), GPS, optical cameras and big-time processing power to analyze millions of possible roadway scenarios and then take the appropriate action. The ultimate goal for autonomous vehicle technology is to make the vehicle so intelligent that no driver input is needed. However, truly autonomous vehicles, wherein the driver can give up complete control to the car, remain on the distant horizon. According to Ford, it is incremental technological advancement that will one day lead to driverless cars.
“By the time we get to full autonomy, the last step won’t seem like such a big deal,” he said. “Even as we put in a lot of these features the driver still has to be vigilant and in control.”
Malcolm Dougherty, director of the California Department of Transportation, agreed. At the ITS World Congress he said that while he believed “the development of autonomous vehicle technology is going to accelerate … for the time being the motorist will always be responsible for the vehicle.”
If you buy a new car today, you’re getting a preview of how driving will change as we move into the era of autonomous, connected vehicles. Features that help you park the car in a tight spot, automatically adjust cruise control speeds and sound an alert when the car drifts out of its lane are examples of technology now offered by automakers. Several states have already passed laws that allow autonomous vehicles to operate on public roads.
In September, California approved three permits for Volkswagen, Mercedes and Google to start autonomous vehicle testing under Senate Bill 1298, which requires the state to adopt formal autonomous vehicle testing rules by 2015.
“When SB 1298 was working its way through, everyone thought that the technology was quite a number of years away — and we were all very surprised as we met with the car manufacturers and industry, about how far along the technology really is,” California Department of Motor Vehicles CIO Bernard Soriano told FutureStructure’s sister publication Techwire. “Getting a chance to see the technology up close and being able to experience it is mind-boggling. It’s exciting to be working on this because we’re on the cusp of societal change. I’m not one to use hyperbole, but this one is a game-changer. It will change the way we function as a society, for the better.”
California State Sen. Alex Padilla (D-Pacoima), who introduced SB 1298 two years ago, shared in the excitement, saying in a statement that “this technology takes a bold step forward. Driverless vehicles will revolutionize transportation, reduce traffic accidents and save lives. Establishing safety standards for these vehicles is an essential step in that process.”
Terry D. Bennett, senior industry program manager, civil engineering and planning at Autodesk, said while the autonomous vehicle concept is compelling, focusing on V2I and V2V makes more practical sense in cities.
“I think [autonomous cars] more than anything create a lot of space for people to think differently,” he said. “But with Detroit and other cities looking at dedicated roads for vehicle-to-vehicle or vehicle-to-infrastructure communication, you’re starting to see the point that having infrastructure that’s intelligent, has sensors and can communicate, is a much better long term approach than trying to automate a single car.”
Indeed, the U. S. Department of Transportation estimates that V2V technology may eliminate or reduce the impact of up to 80 percent of crashes involving unimpaired drivers. In a Governing Institute survey, 62 percent of local officials agreed that autonomous and connected vehicles will mean fewer crashes. Fifty-one percent also foresee improved mobility and reduced congestion as more intelligent vehicles take to the road.
Electric Vehicles
Oregon is gaining both environmental and economic development benefits from its infrastructure and program investments to support electric vehicles (EVs). The most visible of these investments is the West Coast Electric Highway, which includes charging stations along Interstate 5 in Oregon, Washington and eventually California. Based on positive public response, Oregon is installing EV charging stations along other key highways and encouraging private businesses to install stations as well.
Travel Oregon, the state’s tourism office, runs a targeted EV tourism program, “Oregon Electric Byways,” with suggested itineraries and a partnership with Enterprise Rent-a-Car for EV rental.
“It’s hard to separate the infrastructure from economic development because the infrastructure starts the conversation about EVs, especially outside of major cities,” said Ashley Horvat, Oregon’s chief electric vehicle officer and the first person in the public sector to hold this role. “By placing charging stations around the state, we went into communities that had never seen EVs, which really increased adoption and created a positive perception for Oregon within the EV industry.”
In September, California Gov. Jerry Brown signed Senate Bill 1275, which sets a goal for the state to put 1 million zero-emission vehicles on the road by 2023. The bill also authorizes the state to provide financial incentives for consumers to purchase such vehicles, part of the governor’s effort to make electric cars affordable for lower-income workers.
“I’m excited that California is charging ahead with plans to have electric vehicles in every zip code across the state,” the bill’s author, California State Sen. Kevin De León (D-Los Angeles) said in a statement. “We’re going to lead the way in the fight against climate change by putting a million EVs on the roads, which means making them affordable to all drivers, not just the wealthy.”
Driving Data
Intelligent infrastructure generates data that helps civic leadership make better decisions. For local transportation managers, connected vehicles and connected infrastructure will be tools for traffic data collection and analytics.
Better traffic flow is achievable in part with better systems for collecting and analyzing real-time traffic data. In this arena, transportation managers can learn from the technologies and practices deployed by private companies, especially those with large fleets.
For instance, some keen-eyed observers know that the familiar brown UPS trucks rarely make a left turn. The reason is that for decades UPS has worked to optimize routes. The UPS On-Road Integrated Optimization Navigation (ORION) software, which provides analytics for routing the company’s delivery trucks, is the latest in route optimization. The system combines daily data on package delivery commitments and historical route tracking to identify the optimal path (out of hundreds of thousands of possibilities) for each UPS driver to follow that day. UPS expects the ORION system to significantly reduce fuel consumption and miles driven in its trucks. Public transportation departments will benefit from using similar analytics tools said Tom Madrecki, strategic communications manager at UPS.
“It’s really about diving into the data and, based on where people need to go, determining how to make the transportation system the best it can be, then investing in the needed technology to realize those improvements,” Madrecki said.
ITS and the Path to Smart Cities
No matter how promising the new technology, local transportation officials are caught in a classic funding bind — it’s impossible to reduce costs without making investments, but funding for infrastructure investments is scarce or nonexistent. In a recent Governing Institute survey, 78 percent of respondents indicated lack of funding was the key barrier to developing ITS, well ahead of the 45 percent who cited an aging infrastructure as the key barrier.
“We need to create a framework for private entrepreneurship to lead the way,” argued Florida Department of Transportation Secretary Ananth Prasad during a panel at the ITS World Congress. “Legislation at the state and federal level needs to be loosened up.”
In many cases, public-private partnerships will have a larger role in financing new transportation projects. “Many state and local governments don’t have the staff and other resources to implement projects on this large scale,” said Nicholas Fluehr, a managing director at Wells Fargo. “Although municipal bond financing is still a viable option, partnering with the private sector can be a good option from both a cost and efficiency standpoint.”
As traffic volumes continue to grow in the coming decades, the public sector will need to consider every possible opportunity to better manage all transportation systems and infrastructure.
“For state and local governments, the question is which investments will allow them to more effectively and efficiently utilize the existing transportation infrastructure,” said Murtha. “You can spend billions on new roads and light rail or you can make a much smaller investment in the communications technology that will allow more vehicles to operate intelligently on current streets and highways.”
One of the recurring themes of the ITS World Congress was that we’re on the cusp of an extraordinary revolution in transportation, one that may save government billions of dollars by facilitating far better utilization of existing transportation infrastructure.
“Investing in last century’s infrastructure is cheaper in the short run but more costly in the long run,” said Verizon Chairman and CEO Lowell C. McAdam in a keynote address at the ITS World Congress.
That’s why the smart cities of the future will be those that embrace and integrate intelligent transportation systems. While driverless cars may be a long way off, vehicle connectivity is not.
“A smart, connected infrastructure will improve the quality of all our lives,” McAdam said. “Job No.1 in achieving this potential is bringing connectivity to every car.”
This story was originally published by FutureStructure.
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Professor, Automotive Engineering
Professor, Civil Engineering
Professor, Computer Science
Director, USDOT Center for Connected Multimodal Mobility
Director, USDOT Beyond Traffic Innovation Center
Co-Director, Complex Systems, Analytics and Visualization Institute
Professor, Civil Engineering
Professor, Computer Science
Director, USDOT Center for Connected Multimodal Mobility
Director, USDOT Beyond Traffic Innovation Center
Co-Director, Complex Systems, Analytics and Visualization Institute
Areas of Interest:
Cyber-Physical Systems for Connected and Autonomous Vehicles
Cyber-Physical Systems for Smart Cities
Cyber-Physical Systems for Connected and Autonomous Vehicles
Cyber-Physical Systems for Smart Cities
Education:
B.S., Bangladesh Institute of Technology, 1988, Civil Engineering
M.S., Morgan State University, 1991, Transportation
Ph.D., University of Virginia, 1995, Civil Engineering
B.S., Bangladesh Institute of Technology, 1988, Civil Engineering
M.S., Morgan State University, 1991, Transportation
Ph.D., University of Virginia, 1995, Civil Engineering
Classes typically taught:
Autonomous Vehicle Systems
Big Data Analytics for Transportation
Intelligent Transportation Systems
Applications in Traffic Engineering
Connected Vehicle Technology
Security in Intelligent Transportation Systems
Urban Transportation Planning
Autonomous Vehicle Systems
Big Data Analytics for Transportation
Intelligent Transportation Systems
Applications in Traffic Engineering
Connected Vehicle Technology
Security in Intelligent Transportation Systems
Urban Transportation Planning
Professional Registration:
Registered Professional Engineer in Ohio
Registered Professional Engineer in Ohio
Professional Society Membership:
Fellow, American Society of Civil Engineers (ASCE)
Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
Faculty Advisor, IEEE ITS Society Clemson University Student Chapter
Board of Governors, IEEE Intelligent Transportation Systems Society (2011-2013)
Member, Transportation Research Board (TRB) Committee on Artificial Intelligence (AI) and Advanced Computing Applications
Member, Transportation Research Board (TRB) Committee on Intelligent Transportation Systems (ITS)
Fellow, American Society of Civil Engineers (ASCE)
Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
Faculty Advisor, IEEE ITS Society Clemson University Student Chapter
Board of Governors, IEEE Intelligent Transportation Systems Society (2011-2013)
Member, Transportation Research Board (TRB) Committee on Artificial Intelligence (AI) and Advanced Computing Applications
Member, Transportation Research Board (TRB) Committee on Intelligent Transportation Systems (ITS)
Selected Professional Honors, Awards and Recognitions
- Wilbur Smith Distinguished Transportation Educator Award. Award Board: AASHTO, USDOT, Wilbur Smith Associates, Eno Center for Transportation, Transportation Research Board, and Institute of Transportation Engineers (ITE), 2015.
- High Value Research Project, “Rate of Deterioration of Bridges and Pavements as Affected by Truck,” selected by the American Association of State Highway and Transportation Officials (AASHTO), Role: Principal Investigator, 2014.
- Faculty Mentoring Award, College of Engineering, Computing and Applied Sciences, 2013.
- McQueen Quattlebaum Faculty Achievement Award, College of Engineering, Computing and Applied Sciences; Clemson University, 2012.
- Invited Speaker, National Academy of Engineering, Conference on Indo-U.S. Frontiers of Engineering, Arlington, Virginia, March 1-3, 2012.
- Clemson University Board of Trustees Award for Faculty Excellence, Clemson University, 2011 and 2010.
- IDEaS Professor, College of Engineering, Computing and Applied Sciences; Clemson University, 2010.
- Frank A. Burtner Award for Excellence in Advising; Clemson University, 2010.
- Murray Stokeley Award for Excellence in Teaching, College of Engineering, Computing and Applied Sciences; Clemson University, 2009.
Editorship:
Associate Editor, IEEE Transactions on Intelligent Transportation Systems
Associate Editor, Journal of Intelligent Transportation Systems (ITS)
Editorial Advisory Board Member, Transportation Research Part C: Emerging Technologies
Editorial Advisory Board Member, Journal of Transportation Security
Editorial Advisory Board Member, International Journal of Distributed Sensor Networks
Associate Editor, Journal of Intelligent Transportation Systems (ITS)
Editorial Advisory Board Member, Transportation Research Part C: Emerging Technologies
Editorial Advisory Board Member, Journal of Transportation Security
Editorial Advisory Board Member, International Journal of Distributed Sensor Networks
Books:
Fries, R., Chowdhury, M., and Brummond, J., Transportation Infrastructure Security Utilizing Intelligent Transportation Systems, John Wiley & Sons, ISBN-10# 0470286296, 2008.
Fries, R., Chowdhury, M., and Brummond, J., Transportation Infrastructure Security Utilizing Intelligent Transportation Systems, John Wiley & Sons, ISBN-10# 0470286296, 2008.
Chowdhury, M., and Sadek, A., Fundamentals of Intelligent Transportation Systems Planning, Artech House, Inc., Norwood, MA, ISBN # 1-58053-160-1, (2003).
Book Chapters:
Chowdhury, M., ITS Characteristics, web module, ITS Handbook, World Road Federation, 2015.
Chowdhury, M., ITS Capability Development, web module, ITS Handbook, World Road Federation 2015.
Wang, K.C., Bagaria, D., and Chowdhury, M., Topology Aware Routing and Transmission Scheduling for Highway Sensor Networks, Distributed Sensor Networks by Chapman and Hall, 2012.
Chowdhury, M., Paper on Traffic Engineering,A Dictionary of Transport Analysis, Edward Elgar Publishing, UK, ISBN # 1843763753, 2010.
Zhou, Y., and Chowdhury, M., Paper on High Occupancy Toll Lanes,A Dictionary of Transport Analysis, Edward Elgar Publishing, UK, ISBN # 1843763753, 2010.
Chowdhury, M., and Wang, K.C., Distributed Intelligent Traffic Sensor Network, Book Chapter in Transport Science and Technology, Elsevier, Amsterdam, Netherlands, ISBN # 0-08-044707-4, 2007.
Sample Refereed Journal Publications: (underlined names are those of the students worked under Dr. Chowdhury’s direct supervision):
Dey, K., Chowdhury, M., Wiecek, M., and Dunning, A., “Infrastructure Damage Cost Recovery Fee for Overweight Trucks - A Tradeoff Analysis Framework,” ASCE Journal of Transportation Engineering, Vol. 141, Issue 7, (2015).
Rahman, M., Chowdhury, M., Khan, T., and Bhavsar, P., “Improving the Efficacy of Car-following Models with a New Stochastic Parameter Estimation and Calibration Method,” IEEE Transactions on Intelligent Transportation Systems, No. 99, pp 1-13, (2015).
Lantz, K., Khan, S., Ngo, L. B., Chowdhury, M., Donaher, S., and Apon, A., “Potentials of Online Media and Location-based Big Data for Urban Transit Networks in Developing Countries,” Transportation Research Record: Journal of the Transportation Research Board, (2015). In press.
Dey, K., Mishra, A., and Chowdhury, M., “Potential of Intelligent Transportation Systems in Mitigating Adverse Weather Impacts to Road Mobility: A Review,” IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 3, pp 1107 - 1119, (2015).
Li, Z., Chowdhury, M., Bhavsar, P., and He, Y., “Optimizing the Performance of Vehicle-to-Grid (V2g) Enabled Battery Electric Vehicles through a Smart Charge Scheduling Model,” International Journal of Automotive Technology, Vol. 16, No. 5, pp 827-837, (2015).
Dey, K., Chowdhury, M., Pang, W.C., Putman, B.J. and Chen, L., “Estimation of Pavement and Bridge Damage Costs Due to Overweight Trucks,” Transportation Research Record. Journal of the Transportation Research Board, Vol. 2411, pp 62-71. (2014).
Tupper, L., Bausman, D., Chowdhury, M., Bhavsar, P., “Development of a Professional Services Management Training Program,” Transportation Research Record, Journal of the Transportation Research Board, 2414(1), pp 29-34. (2014).
Bhavsar, P., Chowdhury, M., He, Y., Rahman, M., “A Network Wide Simulation Strategy of Alternative Fuel Vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 40, pp 201-214, (2014).
Bhavsar, P., He, Y., Chowdhury, M., and Shealy, A., “Energy Consumption Reduction Strategies for Plug-in Hybrid Electric Vehicles with Connected Vehicle Technology in Urban Areas,” Transportation Research Record: Journal of the Transportation Research Board, No. 2424, pp 29 - 38, (2014).
Bausman, D., Chowdhury, M., and Tupper, L., “Best Practices for Procurement and Management of Professional Services Contracts,” ASCE Journal of Professional Issues in Engineering Education and Practice, Vol. 140, Issue 3, (2014).
Rahman, M., Chowdhury, M., Xie, Y., and He, Y., “Review of Microscopic Lane-Changing Models and Future Research Opportunities,” IEEE Transactions on Intelligent Transportation Systems, Vol. 14, No. 4, pp 1942-1956, (2013).
Fries, R., Anjuman, T. and Chowdhury, M., “Selecting an Asset Management System for Intelligent Transportation Systems,” Public Works Management & Policy, Vol. 18, Issue 4, pp 322-337, (2013).
Johnson, J., Chowdhury, M., He, Y., and Taiber, J., “Utilizing Real-Time Information Transferring Potentials to Vehicles to Improve the Fast-Charging Process in Electric Vehicles,” Transportation Research Part C: Emerging Technologies, Vol. 26, pp 352–366, (2013).
Davis-McDaniel, C., Chowdhury, M., Pang, W., and Dey, K., “A Fault-Tree Model for Risk Assessment of Bridge Failure - A Case Study for Segmental Box Girder Bridges,” ASCE Journal of Infrastructure Systems, Vol. 19, Issue 3, (2013).
Ma, Y., Chowdhury, M., Sadek, A., and Jeihani, M., “Integration of Vehicle Infrastructure Integration (VII) system and Artificial Intelligence (AI) for online travel time prediction,” IEEE Transactions on Intelligent Transportation Systems Vol. 13, No. 3, pp 1369 – 1382, (2012).
Duanmu, J., Taaffe, K., Chowdhury, M., and Michael Robinson, R., “Simulation Analysis for Evacuation under Congested Scenarios: A Case Study,” Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 88, No. 11, pp 1379–1389, (2012).
Fries, R., Gahrooei, M., Chowdhury, M., and Conway, A., “Meeting Privacy Challenges While Advancing Intelligent Transportation Systems,” Transportation Research Part C: Emerging Technologies, Vol. 25, pp 34–45, (2012).
Sharif, O., Huynha, N., Chowdhury, M., and Vidal J.M., “An Agent-Based Solution Framework for Inter-Block Yard Crane Scheduling Problems,” International Journal of Transportation Science and Technology, Vol. 1, No. 2, pp 109-130, (2012).
Duanmu, J., Chowdhury, M., and Taaffe, K., “Buffering in Emergency Evacuation Logistics for Optimal Traffic Demand Distribution,” Transportation Research Part E: Logistics and Transportation Review, Vol. 48, Issue 3, pp 684-700, (2012).
He, Y., Chowdhury, M., Pisu, P and Ma, Y., “An Energy Optimization Strategy for Power-split Drivetrain Plug-in Hybrid Electric Vehicles,” Transportation Research Part C: Emerging Technologies, Vol. 22, pp 29–41, (2012).
He, Y., Rios, J., Chowdhury, M., Pisu, P., and Bhavsar, P., “Forward Power-Train Energy Management Modeling for Assessing Benefits of Integrating Predictive Traffic Data into Plug-in-Hybrid Electric Vehicles,” Transportation Research Part D: Transport and Environment, Vol. 17, Issue 3, pp 201–207, (2012).
Fries, R.,Hamlin, C., Chowdhury, M., Ma, Y., and Ozbay, K., “Operational Impacts of Incident Quick Clearance Legislation: A Simulation Analysis,” Journal of Advanced Transportation, Vol. 46, Issue 1, pp 1-11, (2012).
He, Y., Chowdhury, M., Ma, Y., and Pisu, P., “Merging Mobility and Energy Vision with Hybrid Electric Vehicles and Vehicle Infrastructure Integration,” Energy Policy, Modeling Transport (Energy) Demand and Policies, Vol. 41, pp 599-609, (2012).
Xie, Y., Chowdhury, M., Bhavsar, P., and Zhou, Y., “An Integrated Modeling Approach for Facilitating Emission Estimations of Alternative Fueled Vehicles,” Transportation Research Part D: Transport and Environment, Vol. 17, Issue 1, pp 15-20, (2012).
Tupper, L., Chowdhury, M., Klotz, K., and Fries, R., “Measuring Sustainability: How Traffic Incident Management through Intelligent Transportation Systems has Greater Energy and Environmental Benefits than Common Construction-Phase Strategies for “Green” Roadways,” International Journal of Sustainable Transportation, Vol. 6, Issue 5, pp 282-297 (2012).
Fries, R., Chowdhury, M., and Dunning, A., “Applying Dynamic Traffic Assignment in Modeling Permit-Restricted Parking Utilizing Microscopic Traffic Simulation,” Simulation: Transactions of the Society for Modeling and Simulation International, vol. 88 no. 8, pp 936-947, (2012).
Zhou, Y., Chowdhury, M., Wang, K.C., Bhide, V. and Fries, R., “On-Line Traffic Surveillance: Impacts of Wireless Communications on Video Quality,” ASCE Journal of Transportation Engineering, Vol. 138, No. 5, (2012).
Zhou, Y., Chowdhury, M., Wang, K.C., and Ma, Y., “Development of a multi-step analysis method for evaluating wireless traffic surveillance network performance under adverse conditions and relay network topology using a communication network simulator,” Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 88 no. 8, pp 948-956, (2012).
Ma, Y., Fries, R., Chowdhury, M., and Inamdar, I., “Evaluation of Integrated Allocation of Intelligent Transportation Systems (ITS) Technologies Using Stochastic Incident Generation and Resolution Modeling,” Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 88, No. 1, pp 123-133, (2012).
Fries, R., Dunning, A., and Chowdhury, M., “University Traveler’s Value of Potential Real-Time Transit Information,” Journal of Public Transportation, Vol. 14, No. 2, pp 29-50, (2011).
Zhou, Y., Hamilton, G., Chowdhury, M., Wang, K.C., and Fries, R., “Wireless Communication Alternatives for Intelligent Transportation Systems: A Case Study,” Journal of Intelligent Transportation Systems, Vol. 15, Issue 3, pp 147-160, (2011).
Fries, R., Chowdhury, M., Ma, Y., and Stephens, L., “Evaluation of Different Contraflow Strategies for Hurricane Evacuation in Charleston,” Journal of Planning and Technology, Vol.34, Issue 2, pp 139-154, (2011).
Duanmu J., Chowdhury, M., and Taaffe K., “A Simulation Modeling Framework for Community-wide Evacuation Planning,” Journal of Transportation Security, Vol. 4, No. 1, pp 1-18, (2011).
Hovey, P., Chowdhury, M., Zhou, Y., and Fries, R., “Evaluating the Safety Performance of Adding A Two-Way Left-Turn Lane to An Undivided Cross-Section,” Journal of Public Works and Infrastructure, Vol. 2, No. 4, pp 360-373, (2010).
Ma, Y., Chowdhury, M., Jeihani, M., and Fries, R., “Accelerated Incident Detection across Transportation Networks using Vehicle Kinetics and Support Vector Machine (SVM) in Cooperation with Infrastructure Agents,” IET Intelligent Transportation Systems, Vol. 4, Issue 4, pp 328 – 337, (2010).
Sturm, J., Chowdhury, M., Dunning, A., and Ogle, J.,“Analysis of Cost Estimation Disclosure in Environmental Impact Statements for Surface Transportation Projects,” Transportation, Vol. 38, No. 3, pp 525-544, (2010).
Zhou, Y., Tupper, L., Chowdhury, M., and Klotz, L., “Green Credits Vs. Sustainable Traffic Operations: A Comparison of Contributions to Energy and Emissions Reductions,” Transportation Research Record, Journal of the Transportation Research Board, Vol. 2163, pp 103-111, (2010).
Fries, R., Chowdhury, M., Dunning, A., and Gahrooei, M., “Evaluating Real-time Parking Information: Case Study of an Isolated University Campus,” Transportation Research Record, Journal of the Transportation Research Board, Vol. 2189, pp 1-7, (2010).
Duanmu, J., Taaffe, K., and Chowdhury, M., “Patient Transport Times During Mass Population Evacuations,” Transportation Research Record, Journal of the Transportation Research Board, Vol. 2196, pp 150-158, (2010).
Ma, Y., Chowdhury, M., Fries, R., and Ozbay, K., “Harnessing the Power of Microscopic Simulation to Evaluate Freeway Service Patrols,” ASCE Journal on Transportation Engineering, Vol. 135, Issue 7, pp 427-439, (2009).
Ma, Y., Chowdhury, M., Sadek, A., and Jeihani, M., “Real-Time Highway Traffic Condition Assessment Framework Using Vehicle-Infrastructure Integration (VII) with Artificial Intelligence (AI),”IEEE Transactions on Intelligent Transportation Systems, Vol. 10, No. 4, pp 615-627, (2009).
Atluri, M., Chowdhury, M., Kanhere, N., Fries, R., Sarasua, W., and Ogle, J., “Development of a Sensor System for Traffic Data Collection,” Journal of Advanced Transportation, Vol. 43, No. 1, pp 1-20, (2009).
Zhou, Y., Chowdhury, M., Martin, J, Wang, K.C., and Westall, J. “Field Performance Study of a Regional WiMAX Network for Intelligent Transportation System Applications,” Transportation Research Record, Journal of the Transportation Research Board, pp 121-128, (2009).
Ma, Y., Zhou, Y., Chowdhury, M., Wang, K.C., and Fries, R., “A Framework for Performance Evaluation of Communication Alternatives for Intelligent Transportation Systems,” Journal of Intelligent Transportation Systems, No. 13 (3), pp 111-126, (2009).
Fries, R., Chowdhury, M., and Dunning, A., “A Multi-Agency Survey on Institutional Perspectives of Effective Incident Management,” Journal of Public Works & Infrastructure, Vol. 2.2, pp 150 – 166, (2009).
Racha, S., Chowdhury, M., Sarasua, W., and Ma, Y., “Analysis of Work Zone Traffic Behavior for Planning Applications,” Transportation Planning and Technology, Vol. 31, Issue 2, pp 183 – 199, (2008).
Fries, R., Chowdhury, M., Dunning, A., and Boyles, B., “Transportation Security Framework for a Medium-Size City,” European Journal of Transport and Infrastructure Research (EJTIR), Vol. 8, Issue 1, pp 1-16, (2008).
Fries, R., Inamdar, I., Chowdhury, M., Taaffe, K., and Ozbay, K., “Feasibility of Traffic Simulation for Decision Support in Real-time Regional Traffic Management,” Transportation Research Record, Journal of the Transportation Research Board, No. 2035, pp 169-176, (2007).