Connected and Autonomous Mobility: Opportunities and Challenges
Connected vehicle (CV) technologies are quickly becoming ubiquitous, enabling communication from vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle to everything (V2X). As CVs enter the automobile industry, these technologies could generate substantial mobility and safety benefits.
The performance measurement, assessment and monitoring of CV requires the collection and processing of high frequency spatial-temporal data (up to 10 times/second) calling for innovative data parsing and fusion methods. While CV technologies provide a unique opportunity to gauge travel behavior responses at the disaggregate level, they must come to terms with constraints deriving by the high frequency at which data will be generated and transmitted over local networks. This presentation will discuss the Tampa CV Pilot Deployment, focusing on the opportunities and challenges from which future planners and deployers can draw from as CV technologies become widespread.
Sisinnio Concas, Ph.D.
Program Director | Center for Urban Transportation Research
Research Associate Professor | College of Engineering, University of South Florida
Dr. Concas leads CUTR’s Autonomous & Connected Mobility Evaluation (ACME) Program. Dr. Concas brings 18 years of experience as a transportation economist conducting economic impact and benefit-cost analyses for public transportation, airport and roadway projects. He has performed numerous research projects for the U.S. Federal Transit Administration, Federal Highway Administration, the Florida Department of Transportation, state and local transportation authorities. Dr. Concas is currently leading the Performance Measurement Evaluation and Support of the Tampa CV Pilot Deployment to assess the Pilot’s overall contribution in terms safety, mobility, economic productivity, energy and environmental benefits. Dr. Concas is also leading the independent evaluation of the Federal Transit Administration (FTA) Safety Research and Demonstration (SRD) Program. The evaluation require close coordination and ongoing interaction with the transit agencies serving as SRD sites to perform data collection, analysis, and performance evaluation.
His research group, ACME, specializes in performing economic analysis and performance evaluation of autonomous and connected transportation solutions. ACME researchers are skilled in advanced econometric methods, traffic engineering and safety, data mining, machine learning and artificial intelligence applications. ACME focuses on producing quick-response solutions to better inform practitioners and policy maker in selecting and prioritizing cost-feasible connected and autonomous mobility alternatives.
Dr. Concas holds a Ph.D. in Economics from the University of South Florida, with a field specialization in Urban Economics and Applied Econometrics, and a Doctoral degree in Political Sciences, with a field specialization in Macroeconomics from the Universitá degli Studi di Sassari, Italy. He is currently serving as member of the Transportation Research Board (TRB) Committee on Transportation Demand Management (ABE50), the Committee on Transportation Economics (ABE20) and the Subcommittee on International Developments in Light Rail Transit (AP075-3).