Browsing NDSU Faculty/Staff Research & Scholarship by Author "Tolliver, Denver D."

Now showing items 1-20 of 22

    • Accuracy Enhancement of Anomaly Localization with Participatory Sensing Vehicles 

      Bridgelall, Raj; Tolliver, Denver D. (2020)
      Transportation agencies cannot afford to scale existing methods of roadway and railway condition monitoring to more frequently detect, localize, and fix anomalies throughout networks. Consequently, anomalies such as potholes ...

    • Accuracy Enhancement of Roadway Anomaly Localization Using Connected Vehicles 

      Bridgelall, Raj; Tolliver, Denver D. (2016)
      The timely identification and localization of roadway anomalies that pose hazards to the traveling public is currently a critical but very expensive task. Hence, transportation agencies are evaluating emerging alternatives ...

    • Budgeting the Adoption of Sensors on Connected Trains 

      Bridgelall, Raj; Tolliver, Denver D. (2021)
      Railroads can save millions of dollars by deploying multi-sensor track scanners on connected trains to detect track and roadbed problems that could cause accidents. However, uncertainties about performance and return-on-investment ...

    • Characterizing Pavement Roughness at Non-Uniform Speeds Using Connected Vehicles 

      Bridgelall, Raj; Hough, Jill; Tolliver, Denver D. (2017)
      Methods of pavement roughness characterizations using connected vehicles are poised to scale beyond the frequency, span, and affordability of existing methods that require specially instrumented vehicles and skilled ...

    • Closed Form Models to Assess Railroad Technology Investments 

      Bridgelall, Raj; Tolliver, Denver D. (2020)
      Class I railroads in North America collectively invested $11.2 billion to comply with a federal mandate to deploy positive train control. This amount dwarfs the potential savings from accidents the technology could prevent. ...

    • A Cognitive Framework to Plan for the Future of Transportation 

      Bridgelall, Raj; Tolliver, Denver D. (2020)
      Automated, connected, electrified, and shared mobility will be cornerstones of the transportation future. Research to quantify the potential benefits and drawbacks of practice, and to identify barriers to adoption is the ...

    • Detecting Sources of Ride Roughness by Ensemble Connected Vehicle Signals 

      Bridgelall, Raj; Bhardwaj, Bhavana; Lu, Pan; Tolliver, Denver D.; Dhingra, Neeraj (2022)
      It is expensive and impractical to scale existing methods of road condition monitoring for more frequent and network-wide coverage. Consequently, defects that increase ride roughness or can cause accidents will go undetected. ...

    • Enhancement of Signals from Connected Vehicles to Detect Roadway and Railway Anomalies 

      Bridgelall, Raj; Chia, Leonard; Bhardwaj, Bhavana; Lu, Pan; Tolliver, Denver D.; Dhingra, Neeraj (2019)
      Frequent network-wide monitoring of the condition of roadways and railways prevent fatalities, injuries, and financial losses. Even so, agencies cannot afford to inspect vast transportation networks using present methods. ...

    • Error Sensitivity of the Connected Vehicle Approach to Pavement Performance Evaluations 

      Bridgelall, Raj; Rahman, Md Tahmidur; Tolliver, Denver D.; Daleiden, Jerome F. (2016)
      The international roughness index is the prevalent indicator used to assess and forecast road maintenance needs. The fixed parameters of its simulation model provide the advantage of requiring relatively few traversals ...

    • Hyperspectral Applications in the Global Transportation Infrastructure 

      Bridgelall, Raj; Rafert, J. Bruce; Tolliver, Denver D. (2015)
      Hyperspectral remote sensing is an emerging field with potential applications in the observation, management, and maintenance of the global transportation infrastructure. This study introduces a general analytical framework ...

    • Hyperspectral Imaging Utility for Transportation Systems 

      Bridgelall, Raj; Rafert, J. Bruce; Tolliver, Denver D. (2015)
      The global transportation system is massive, open, and dynamic. Existing performance and condition assessments of the complex interacting networks of roadways, bridges, railroads, pipelines, waterways, airways, and ...

    • Hyperspectral Range Imaging for Transportation Systems Evaluation 

      Bridgelall, Raj; Rafert, J. Bruce; Tolliver, Denver D.; Atwood, Don (2016)
      Transportation agencies expend significant resources to inspect critical infrastructure such as roadways, railways, and pipelines. Regular inspections identify important defects and generate data to forecast maintenance ...

    • Introducing an Efficiency Index to Evaluate eVTOL Designs 

      Bridgelall, Raj; Askarzadeh, Taraneh; Tolliver, Denver D. (2023)
      The evolution of electric vertical takeoff and landing (eVTOL) aircraft as part of the Advanced Air Mobility initiative will affect our society and the environment in fundamental ways. Technological forecasting suggests ...

    • Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations 

      Bridgelall, Raj; Lu, Pan; Tolliver, Denver D.; Xu, Tie (2018)
      On-demand shared mobility services such as Uber and micro-transit are steadily penetrating the worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking ways to compete. This study mined ...

    • Policy Implications of Truck Platooning and Electrification 

      Bridgelall, Raj; Patterson, Douglas A.; Tolliver, Denver D. (2020)
      Trucks in North America account for more than 23% of the transportation sector’s greenhouse gas emissions. Truck platooning and truck electrification are potential technologies for reducing emissions and operating cost. ...

    • Railroad Accident Analysis Using Extreme Gradient Boosting 

      Bridgelall, Raj; Tolliver, Denver D. (2021)
      Railroads are critical to the economic health of a nation. Unfortunately, railroads lose hundreds of millions of dollars from accidents each year. Trends reveal that derailments consistently account for more than 70% of ...

    • Rapid Hyperspectral Image Classification to Enable Autonomous Search Systems 

      Bridgelall, Raj; Rafert, J. Bruce; Tolliver, Denver D.; Lee, EunSu (2016)
      The emergence of lightweight full-frame hyperspectral cameras is destined to enable autonomous search vehicles in the air, on the ground, and in water. Self-contained and long-endurance systems will yield important new ...

    • Resolution Agile Remote Sensing for Detection of Hazardous Material Spills 

      Bridgelall, Raj; Rafert, James B.; Tolliver, Denver D.; Lee, EunSu (2016)
      Traffic carrying flammable, corrosive, poisonous, and radioactive materials continues to increase in proportion with the growth in their production and consumption. The sustained risk of accidental releases of such ...

    • Rolling-Stock Automatic In-Situ Line Deterioration and Operating Condition Sensing 

      Bridgelall, Raj; Lu, Pan; Tolliver, Denver D. (2013)
      Track and equipment failures dominate railroad accident causes. Railroads must visually inspect most tracks in service as often as twice weekly to comply with the Federal Track Safety Standards. They augment visual ...

    • A Systematic Literature Review of Drone Utility in Railway Condition Monitoring 

      Askarzadeh, Taraneh; Bridgelall, Raj; Tolliver, Denver D. (2023)
      Drones have recently become a new tool in railway inspection and monitoring (RIM) worldwide, but there is still a lack of information about the specific benefits and costs. This study conducts a systematic literature review ...