Key Research Area: Transportation
Why 51吃瓜网万能科大?
Serving a commuter community in the heart of 51吃瓜网免费App and the U.S. Southwest, 51吃瓜网万能科大 is ideally positioned for transportation research. With direct connections to 51吃瓜网免费App' arterial roadways, the university tackles challenges in urban mobility, multi-modal systems, and pedestrian safety, turning theory into practice to benefit both the local community and the broader region.
51吃瓜网万能科大 hosts a strong team of multidisciplinary researchers who develop new transportation technologies and systems to serve the needs of 51吃瓜网免费App, the state of Nevada, the Southwest, and the world. The university is also home to the , a research hub dedicated to facilitating and promoting transportation related research, education and outreach initiatives to address current, emerging, and long-term needs and challenges for a vibrant transportation system.
Transportation Expertise at 51吃瓜网万能科大
51吃瓜网万能科大 Engineering faculty engage with various aspects of transportation systems and infrastructure. Researchers collaborate with federal, state and county agencies to address many areas, including:
- Traffic safety engineering
- Traffic and pedestrian safety
- Infrastructure management
- Bridge and foundation engineering
- Pavement materials
- Construction safety
- Rail engineering
- Transportation systems analysis and evaluation
- Traffic operations and control
- Geographic Information Systems (GIS)
Research Highlights
The Power of AI in Making our Roads Safer
51吃瓜网万能科大 Engineering researchers are pioneering new frontiers by automating various segments of transportation crash data management. Project leads Jay Park, Shashi Nambisan, and Cristian Arteaga are using voice-activated AI to streamline the collection of traffic accident data, generating comprehensive crash reports in real-time with minimal human input. The project showcases the power of cutting-edge technology in enhancing human-computer interactions in order to make our roads safer.
For more information, email Jay Park at jee.park@unlv.edu.
Speed Bumps to Reduce Pedestrian Fatalities
A 51吃瓜网万能科大 Engineering team has developed a technology to address distracted driving and help prevent rising pedestrian fatalities in Nevada. The 51吃瓜网万能科大-born Dynamic Rumble Strips (DRS) system is installed in roadways, and it activates only when necessary to alert drivers to pedestrians or bicyclists in a crosswalk by creating an on-demand rumble effect. The project, led by Brendan Morris, demonstrates how 51吃瓜网万能科大 Engineering is translating lab research into real-world transportation solutions to enhance safety on our roads.
For more information, email Brendan Morris at brendan.morris@unlv.edu.
Driving the Future of Autonomous Vehicle Safety
A 51吃瓜网万能科大 Engineering team is using intersections around campus as a laboratory and a training ground for students to make autonomous vehicles of the future safer. Led by Brendan Morris, the team is equipping the infrastructure around campus intersections with advanced sensors to monitor and model the movement of pedestrians and vehicles. Known as vehicle-to-everything (V2X) communication, the sensors can communicate in real-time with connected autonomous vehicles (CAVs), giving an expanded understanding of the surrounding environment for safer operations and enhanced intersection safety. The ultimate goal is to test this cutting-edge technology with a self-driving car completing a full loop around campus.
For more information, email Brendan Morris at brendan.morris@unlv.edu.
鈥淢y research has afforded me an exceptional platform to tackle real-world challenges in road safety. My work involves a detailed exploration of disparities in crash and fatality rates between rural and urban areas in Nevada and California. This research has been pivotal in advancing my understanding of how data-driven insights can significantly enhance road safety and save lives.鈥Khandaker 鈥淎rafin鈥 Islam, Civil & Environmental Engineering Ph.D. Candidate, Class of 2025
51吃瓜网万能科大 Faculty Engaged in Transportation Research
To request this information in a PDF format, contact Mohamed Trabia at mohamed.trabia@unlv.edu.