Short-term freeway traffic speed prediction is essential to improving mobility and safety. It has been a challenging, yet unresolved issue. Traffic speed prediction can be applied to enhance the intelligent freeway traffic management and control for applications as operational and regulation planning. For example, with more reliable traffic speed prediction,...
Highway capacity has traditionally been treated as deterministic. In reality, however, capacity can vary from time to time and location to location due to inclement weather, various driving behavior, traffic incident, bottleneck and workzone. This thesis aims to characterize the stochastic variations of highway capacity, and explore its applications.
The...
Transportation agencies need efficient methods to determine how to improve bicycle facilities in order to improve connectivity and safety. Many studies have used standalone methods such as level of traffic stress (LTS) and bicycle level of service (BLOS) to better understand bicycle mode share and network connectivity for a region...
Natural disasters could result in unnecessary loss of life and disproportionate suffering to families and communities if evacuation plans are not in place or understood by the public. In the Pacific Northwest, a magnitude 9.0 earthquake and tsunami from the Cascadia Subduction Zone (CSZ) represents one of the most pressing...
While riding bicycles has been promoted for its health, economic, and environmental benefits, it also complements other modes to complete a safe, efficient, and reliable transportation system. However, the dramatic increase of bicycle usage in the U.S. is accompanied by a growth of bicycle crashes. The U.S. Department of Transportation,...
Increasingly congested surface transportation network in urban areas and grow-ing land values make underground transportation systems more attractive for high-ways (i.e., tunnels) and metro system compared to other options [1]. An underground transportation system can preserve the land above for recreational parks, commer-cial buildings, residential homes, or other purposes while...
Transportation systems are facing safety and operational challenges with a cost of billions of dollars annually in lost production time and wasted fuel. Infrastructure expansion, previously held as a panacea to most transportation challenges has lost its appeal due to financial, land-use and environmental constraints. Interest is surging in intelligent...
The advancement of the cutting-edge technologies of advanced driver assistance systems (ADAS) hold promises to reshape the future of the transportation system. The concept of connected (CV) and connected automated vehicles (CAV) technologies are live examples of the future transportation. Vehicle communication technology is expected to impact conventional traffic conditions....
In 2017, the cost of congestion in the United States was around 305 billion dollars, and city-dwellers, on average, lost 1400 dollars while sitting 42 hours in traffic jams. Aiming for better mobility and more efficient utilization of the transportation network, emerging connected and autonomous vehicle (CAV) technologies and their...
Social scientists have studied people's responses to disasters for many decades, and behavioral commonalities and variations are summarized in different mental schemes/models in disaster studies. Integrating those findings from social science into evacuation simulation can improve simulation accuracy and eventually better support decision-making and disaster preparedness. However, this kind of...