C24. Yao, Z., Wei, H., Li, Z. and Abrishami, H. (2018). “A Combined Axle and Length-based Vehicle Classification Method using Image Processing Techniques.” 97th Transportation Research Board Annual Meeting. Washington, D.C., 2018.

View More C24. Yao, Z., Wei, H., Li, Z. and Abrishami, H. (2018). “A Combined Axle and Length-based Vehicle Classification Method using Image Processing Techniques.” 97th Transportation Research Board Annual Meeting. Washington, D.C., 2018.

C23. Yao, Z., Wei, H., Rohne, A., Perugu, H., and Corey, J. (2017). “Quantifying Household Travel Carbon Emission at Traffic Analysis Zone Level Using High Resolution Survey Data.” 96th Transportation Research Board Annual Meeting. Washington, D.C., 2017.

View More C23. Yao, Z., Wei, H., Rohne, A., Perugu, H., and Corey, J. (2017). “Quantifying Household Travel Carbon Emission at Traffic Analysis Zone Level Using High Resolution Survey Data.” 96th Transportation Research Board Annual Meeting. Washington, D.C., 2017.

C20. Yao, Z., Wei, H., Rohne, A., Corey, J., Perugu, H., and Liu, H. (2015). “Connecting Household Socioeconomics and Travel Carbon Footprint: Empirical Results from High-Resolution GPS Household Travel Survey.” 94th Transportation Research Board Annual Meeting. Washington, D.C., (Practice-Ready Paper)

View More C20. Yao, Z., Wei, H., Rohne, A., Corey, J., Perugu, H., and Liu, H. (2015). “Connecting Household Socioeconomics and Travel Carbon Footprint: Empirical Results from High-Resolution GPS Household Travel Survey.” 94th Transportation Research Board Annual Meeting. Washington, D.C., (Practice-Ready Paper)

C19. Yao, Z., Wei, H., Wang, X., Liu, H. and Yang, Y. J. (2014). “Scenario-based Carbon Footprint Inventory Tool for Urban Sustainable Development Decision Support: The Cincinnati Case Study. “ 93rd Transportation Research Board Annual Meeting, Washington D. C.

View More C19. Yao, Z., Wei, H., Wang, X., Liu, H. and Yang, Y. J. (2014). “Scenario-based Carbon Footprint Inventory Tool for Urban Sustainable Development Decision Support: The Cincinnati Case Study. “ 93rd Transportation Research Board Annual Meeting, Washington D. C.

C18. Yao, Z., Wei, H., Xiao, X., Liu, H. and Ren, H. (2014). “A Prototype of Video-Based Vehicle Classification System Using Vision-Based Axle Detection.” 93rd Transportation Research Board Annual Meeting, Washington D. C.

View More C18. Yao, Z., Wei, H., Xiao, X., Liu, H. and Ren, H. (2014). “A Prototype of Video-Based Vehicle Classification System Using Vision-Based Axle Detection.” 93rd Transportation Research Board Annual Meeting, Washington D. C.

C17. Liu, H., Wei, H., Yao, Z., Ren, H. and Ai, Q. (2014). “Modeling and Evaluating Short-Term On-Road PM2.5 Emission Factor Using Different Traffic Data Sources.” 93rd Transportation Research Board Annual Meeting, Washington D. C.

View More C17. Liu, H., Wei, H., Yao, Z., Ren, H. and Ai, Q. (2014). “Modeling and Evaluating Short-Term On-Road PM2.5 Emission Factor Using Different Traffic Data Sources.” 93rd Transportation Research Board Annual Meeting, Washington D. C.

C16. Perugu, H., Wei, H., and Yao, Z. (2014). “Modeling Truck Activity using Short-term Traffic Counts for Reliable Estimation of Heavy-Duty Truck Emissions in Urban Areas. “ 93rd Transportation Research Board Annual Meeting, Washington D. C.

View More C16. Perugu, H., Wei, H., and Yao, Z. (2014). “Modeling Truck Activity using Short-term Traffic Counts for Reliable Estimation of Heavy-Duty Truck Emissions in Urban Areas. “ 93rd Transportation Research Board Annual Meeting, Washington D. C.

C15. Li, Z., Ken Yang, Wei, H., Yao, Z., Liu, H., and Wang, H. (2014). “Evaluation of Multi-Point Advance Detection Schemes for Dilemma Zone Protection.” Proceeding of CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems. Chang Sha, China.

View More C15. Li, Z., Ken Yang, Wei, H., Yao, Z., Liu, H., and Wang, H. (2014). “Evaluation of Multi-Point Advance Detection Schemes for Dilemma Zone Protection.” Proceeding of CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems. Chang Sha, China.