Cong Chen presents at NLTAPA meeting
Program Overview
This program actively pursues innovative projects and collaborates with peers to develop and apply new concepts and technologies to solve real-world transportation problems. The expertise of its faculty and staff covers intelligent transportation systems (ITS), connected autonomous vehicles (CAV), traffic operations, transportation safety, and technical training. Researchers and staff specialize in public education and outreach, public opinion surveys and analysis, graphic design and production, and development of effective paid media campaigns. The ITS program also manages and operates the prestigious Florida Local Technical Assistance Program (LTAP) Center to serve and provide training and technical assistance to Florida local and tribal agencies.
Research Focus:
- Development of Comprehensive Roadmap and Resource Guide towards Congestion Reduction
- Before-After Studies and Safety Countermeasure Evaluation
- Prioritization of Safety Project Selection
- Evaluation on Effectiveness of Audible and Vibratory Treatment (AVT) Installations on Arterials and Collectors
- Evaluation of Pilot Deployment of Portable Visual Barriers to Reduce Rubbernecking Impact During Freeway Crashes
- Toward a Florida Automated, Connected, Electric, and Shared (ACES) Transportation System Roadmap
- USF-CUTR I-4 FRAME Project Before Study
- Utilizing Artificial Intelligence and Vision-based Systems for Monitoring Trespassing – Best Practices
- Crashes Related to Type and Location of Driveway Access
- Development of Automated Roadway Lighting Diagnosis Tools for Nighttime Traffic Safety Improvement
- Development of Crash Modification Factors for Speed Management of Traffic Signal Progression
- Multimodal Strategies for Mitigating Congestion from Urban Parcel Delivery
- Smart Work Zone Applications and Work Zone Safety
- Public Safety Awareness Technology Evaluation
- Cybersecurity for Connected Vehicle Infrastructures
- Advanced Lighting Measurement Systems and Automated Diagnosis Tools
- Incident Monitoring and Management Using Drones
- Pedestrian and Bicycle Safety Research
- Behavioral Research and Human Factor Analysis
