Civil & Environmental Engineering

• REDUCING CONGESTION POST-COVID-19 THROUGH TELECOMMUTING AND HOV LANES 

  UGWU, NNEOMA maxine (2021)

  The historic low traffic during the COVID-19 pandemic reignited interest in telecommuting as a low-cost effective Travel Demand Management (TDM) strategy. Telecommuting, introduced as a TDM in 1970, has been studied ...

• INTRODUCING A GRAPH-BASED NEURAL NETWORK FOR NETWORKWIDE TRAFFIC VOLUME ESTIMATION 

  Zahedian, Sara (2021)

  Traffic volumes are an essential input to many highway planning and design models; however, collecting this data for all the roads in a network is not practical nor cost-effective. Accordingly, transportation agencies must ...

• FLIGHT ARRIVAL SCHEDULING MODELS FOR INCORPORATING COLLABORATIVE DECISION-MAKING CONCEPTS INTO TIME-BASED FLOW MANAGEMENT 

  HAO, YEMING (2021)

  Time-based air traffic flow management balances demand versus capacity at facilities by assigning Controlled Times of Arrival (CTAs) to incoming flights. However, existing systems do not differentiate delay costs among ...

• Estimating terrestrial water budget components across high mountain Asia using remote sensing, data assimilation, and machine learning 

  Ahmad, Jawairia (2021)

  Contemporary studies have predicted a vulnerable future for key water budget components across high mountain Asia (HMA) and the adjoining areas. Considering the regional population and its dependence on agrarian economies, ...

• EVALUATING MILITARY INSTALLATION OPERATIONS DEPENDENCE ON INFRASTRUCTURE USING MACHINE LEARNING AND SURVEY DATA 

  Magoulick, Paul F (2021)

  Critical infrastructure on many Department of Defense (DOD) installations are increasingly threatened by extreme weather, in part due to climate change and also in part due to the location vulnerability of these assets. ...

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