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Filtering by: Advisor Wang, Haizhong Remove constraint Advisor: Wang, Haizhong Non-Academic Affiliation Oregon State University. Graduate School Remove constraint Non-Academic Affiliation: Oregon State University. Graduate School

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  • Networked Multi-agent Modeling of Connected Vehicles in Mixed Traffic Environment: A Decentralized Consensus Approach

    Creator:
    Wahid, Merih
    Abstract:
    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...
    Resource Type:
    Dissertation
    Full Text:
    Approach Abstract approved: Haizhong Wang Transportation systems are facing safety and operational

  • An Agent-based Evacuation Modeling of Underground Fire Emergency

    Creator:
    Xu, Yue
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Modeling of Underground Fire Emergency Abstract approved: Haizhong Wang Increasingly congested surface

  • Crowdsourcing Data-driven Development of Bicycle Safety Performance Functions (SPFs) : Microscopic and Macroscopic Scales

    Creator:
    Chen, Chen
    Abstract:
    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,...
    Resource Type:
    Masters Thesis
    Full Text:
    Haizhong Wang While riding bicycles has been promoted for its health, economic, and

  • Agent-based Tsunami Evacuation Model : Life Safety and Network Resilience

    Creator:
    Mostafizi, Alireza
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Evacuation Model: Life Safety and Network Resilience Abstract approved: Haizhong Wang Natural disasters

  • Exploring the Relationship between Bicycle Level of Traffic Stress and Reported Bicycle Collisions

    Creator:
    Vogt, Rachel
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Haizhong Wang Transportation agencies need efficient methods to determine how to improve bicycle

  • Stochastic Characterization of Highway Capacity and Its Applications

    Creator:
    Dong, Shangjia
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Applications Abstract approved: Haizhong Wang Highway capacity has traditionally been treated as

  • EMD based hybrid models in short term traffic speed forecast

    Creator:
    Liu, Lu
    Abstract:
    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,...
    Resource Type:
    Masters Thesis
    Full Text:
    : EMD based hybrid models in short term traffic speed forecast Abstract approved: Haizhong Wang Short