|
 |
 |
(New!) 12/21/2016: Congratulating Dr. Yao Zhuo on winning 1st Place in 2016 Great Lakes District ITE Student Paper Competition for the paper titled "A Combined Axle and Length-based Vehicle Classification Method using Image Processing Techniques" (Advisor: Heng Wei). |
|
(New!) 1/12/2017: The Paper titled "Sensitivity Analysis of Project level MOVES Running Emission Rates for Light and Heavy Duty Vehicles" has been granted with the "2014-2016 Top Article Award" by Journal of Traffic and Transportation Engineering (English Edition). Congratulations on all the authors: Zhuo Yao, Heng Wei*, Harrikeshen Perugu, Hao Liu and Zhixia Li. |
| |
(New!) 1/12/2017: Congratulating Dr. Zhixia (Richard) Li on winning the TRB Committee on Roundabout 2016 Best Paper. Dr. Li is graduated PhD student from University of Cincinnati under advisement of Dr. Heng Wei |
| |
(New!) 1/16/2017: The paper entitled “A Fuzzy C-Means Image Segmentation Approach for Axle-based Vehicle Classification” was selected as one of the finalists for ABJ70’s Kikuchi-Karlaftis Best Paper Award by the TRB’s Committee on Artificial Intelligence and Advanced Computing Applications (ABJ70). The paper was also selected to present in the Fall 2016 ABJ70 Webinar Series, Friday, December 9, 2016. Honor Authors: Zhuo Yao, Heng Wei (Presenter), Zhixia (Richard) Li, and Jonathan Corey. |
|
.(New!) 1/16/2017: New publication on TRC: Liu, H., Wei, H., Zuo, T., Li, Z., and Yang, Y.J. (2017). “Fine-Tuning ADAS Algorithm Parameters for Optimizing Traffic Safety and Mobility in Connected Vehicle Environment”. Transportation Research Part C. Volume 76, pp. 132-149. |
|
|
|
 |
Advanced Research on Transportation Engineering Systems (ART-Engines) LabThe transportation engineering system laboratory, ART-Engines Lab at UC includes personal computers, video equipment, cameras, radio communication devices, and traffic sensors. This equipment provides the capability to examine traffic flow on a real-time basis and to develop algorithms, mathematical models, and software for applications to study freeways and surface streets problems. personal computers, video equipment, cameras, radio communication devices, and traffic sensors. This equipment provides the capability to examine traffic |
|
|
|
Resource Linkages
Recruiting New PhD Students!!! |
