Safe & Adaptive Transportation Systems
Transportation systems that are safe, responsive, and efficient for riders, drivers, pedestrians, and vehicles
Discoveries and Impact
- Traffic detection systems applied worldwide
- Constructed new models of route choices by transit riders
- Improved safety and mobility of modern urban roundabouts
- Identified conditions that support the external validity of safety-related knowledge
- Optimized control of autonomous vehicles at non-signalized intersections
- Quantified uncertainty in crash reconstruction using Bayesian inference methods
- Modeled driving behavior and its connection with safety and efficiency
Our Research
- Developed novel models to predict traffic flow and congestion for autonomous vehicles
- Understanding and characterizing the emergent properties of traffic flow
- Using data to better understand how people navigate transportation systems
- Understanding the connection between traffic control tools and practices and driving behavior
- Developing performance measures describing the level of service the transportation system provides to all users
- Inventing new tools to help practitioners plan and operate the transportation system
- Modeling traffic flow and transportation network behaviors of autonomous vehicles
- Optimizing autonomous vehicle transportation systems
- Optimizing traffic signal timing analytically
- Assessing causal inference and impact assessment in traffic safety
- Identifying mechanisms that explain the workings of safety-related improvements
- Applying advanced statistical methods to solve transportation problems