This project’s objective was to study the truck parking problem and generate useful information and parking assist algorithms that could assist truck drivers in better planning their trips.
This study aims to investigate asphalt binder and mix aging mechanism, especially for the asphalt containing crumb rubber modifier, and evaluate the aging effects on the asphalt mix performances. This study also aims to further evaluate the performance of the asphalt mix containing crumb rubber modifier, including the rutting resistance, fatigue life, and thermal cracking resistance.
This project studies pollutant particle size distribution at near-road locations. The researcher examines the size, concentration, and mobility of pollutant particles.
This research project is aimed to develop methods and applications for shared and autonomous mobility with machine learning and data mining knowledge and tools.
This project explores the probability of developing a centrally coordinated routing system for trucks. The project develops a method for estimating the utility functions of truck drivers based on their response to a centrally coordinated routing system that they are participating, and it also evaluates the impact of assumed wrong utility functions that could be viewed as non-compliance on the system optimum cost.
This research proposal will compare alkali activated materials, asphalt and “green” asphalt pavement technology through life cycle assessment and life cycle cost analysis, using the state of Georgia as a case study.
This project evaluates complete streets through a life cycle assessment approach, taking into consideration sociodemographic factors in addition to environmental factors.
This research will apply a life cycle perspective to assess the energy use, greenhouse gas emissions, air quality impacts, and costs of on-road freight vehicle technologies and operational strategies identified under California's Sustainable Freight Action Plan.
