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Dr. Kun Xie

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Dr. Kun Xie, joined with Dr. Hong Yang from Ïã¸ÛÁùºÏ²Ê×ÊÁÏ CMSE and Dr. Hongkai Yu from Cleveland State University, we were recently funded a research project ($ 135K) by the NCHRP IDEA program of National Academy of Sciences, titled "An Automated System for Large-scale Intersection Marking Data Collection and Condition Assessment". VDOT will provide $ 50K matching to support the implementation of the system in Virginia. This project will develop an artificial intelligence-powered system to automatically detect and characterize roadway markings (e.g., lane-use arrows and crosswalks) and to assess their degradation conditions using roadway GIS data and aerial images. Current intersection data collection practices are estimated to cost $2,000,000 and 16,000 person-hours for every 100,000 intersections. The proposed system can automate large-scale data collection in a timely manner, with a great potential to reduce the cost to zero. By economically providing large-scale intersection marking data, this system will enable state DOTs to empower analytic methods for data-driven safety management. The proposed system can also assess the degradation condition of identified markings, and thus timely assist maintenance prioritization for reinforcing intersection safety.

Mecit Cetin, Director

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The Transportation Research Institute (TRI) in the Civil and Environmental Engineering (CEE) Department at Ïã¸ÛÁùºÏ²Ê×ÊÁÏ is focused on developing innovative solutions to address congestion, safety, and environmental impacts of surface transportation systems. The research activities of the Institute include the following areas:

• Transportation operations
• Intelligent Transportation Systems (ITS)
• Connected and Automated Vehicles (CAVs)
• Transportation safety
• Modeling freight systems
• Environment, energy, and sustainable transport
• Applications of AI and machine learning in transportation