New D-STOP Projects with Cintra
D-STOP makes the most of opportunities to build on its funding to extend our research and its benefits. Some of our past project partners include the Texas Department of Transportation and Texas MPOs:
- TxDOT: 0-6845, Connected Vehicle Problems, Challenges and Major Technologies (1/16/2015 through 12/31/2016) (read project report)
- TxDOT: 0-6877, Communications and Radar-Supported Transportation Operations and Planning (CAR-STOP) (ongoing) (read project description)
- North Central Texas Council of Governments (NCTCOG): Travel Modeling in an Era of Connected and Automated Transportation Systems: An Investigation in the Dallas-Fort Worth Area (read the project report)
Now we are getting started on three projects with Cintra, an international, private developer of transport infrastructure. These projects are designed to capture and analyze some fundamental shifts underway in the transportation industry: the advent of electric vehicles, ride-sourcing (also known as ride-sharing), and connected vehicles and autonomous vehicles. Our researchers are working on all of these new paradigms—both to advance the state of the art and to inform the public as to the ramifications of these shifts on the transportation system at large.
Project 1: Capturing the Impacts of Ride-sourcing and High-occupancy Vehicles (HOVs)
- Understand the impact of new technologies on the choice of ride sharing and HOVs (car-pooling), the factors affecting ride-sourcing adoption (e.g., residential location, socioeconomic factors) and estimate adoption rates over time.
- Understand the requirements of a methodological approach to estimate the impact of ride-sourcing and HOVs on recurrent traffic patterns over time.
- Develop and implement a prototype to test the concepts identified as part of the methodological research.
Project 2: Vehicle-to-Infrastructure (V2I) Managed Lanes Test Bed
- Understand the requirements of a successful vehicle-to anything (V2X) communications test bed.
- Investigate V2I communication technology to be installed along connected roadways, including DSRC, LTE and potential 5G technologies.
- Investigate V2I privacy and security threats.
- Collaborate with partners to select and implement a test bed.
- Design tests and replicable data collection and analysis methodologies.
- Utilize equipment installed along a test corridor to study how drivers with and without connectivity behave and interact.
- Run behavioral analysis on the value people place on the additional safety benefits provided by the possibility of receiving safety messages directly in their cars.
Project 3: Transition Period from Today to Fully Autonomous
- Understand the challenges of capturing the impacts of connected autonomous vehicles (CAVs) for different traffic models.
- Propose adequate methodologies to incorporate CAVs into the traffic models used in this project.
- Estimate model parameters to reflect the impact of CAVs in the selected traffic model.
- Implement the selected methodologies within the models developed for Project 1 in order to comprehensively assess the far-ranging impacts of CAV adoption (including increased vehicle-miles traveled).