Virginia Tech Transportation Institute (VTTI): Recent submissions

Now showing items 1-20 of 564

    • Probability of detection of electric vehicles with and without added warning sounds 

      Roan, Michael J.; Neurauter, Luke; Song, Miao; Miller, Marty (2021-01-26)
      Detection performance as a function of distance was measured for 16 subjects who pressed a button upon aurally detecting the approach of an electric vehicle. The vehicle was equipped with loudspeakers that broadcast one ...

    • Analysis of Run-off-road Safety-critical Events in Virginia 

      Turturici, Marissa; Noble, Alexandria; Klauer, Charlie (National Surface Transportation Safety Center for Excellence, 2021-05-27)
      Run-off-road (ROR) crashes account for a large proportion of fatalities on U.S. roadways. ROR crashes usually involve a single vehicle and occur when the vehicle departs the roadway and then strikes an object. The research ...

    • Review on Machine Learning Techniques for Developing Pavement Performance Prediction Models 

      Justo-Silva, Rita; Ferreira, Adelino; Flintsch, Gerardo (MDPI, 2021-05-07)
      Road transportation has always been inherent in developing societies, impacting between 10–20% of Gross Domestic Product (GDP). It is responsible for personal mobility (access to services, goods, and leisure), and that is ...

    • Improving the Safety of Interactions Between Vulnerable Road Users and Automated Vehicles: A Collaborative Investigation 

      Owens, Justin M. (National Surface Transportation Safety Center for Excellence, 2021-04-28)
      This report documents a collaboration between researchers at the Pedestrian Bicycle Information Center at the University of North Carolina’s Highway Safety Research Center and the Virginia Tech Transportation Institute to ...

    • Examining Seniors’ Adaptation to Mixed Function Automated Vehicles: Analysis of Naturalistic Driving Data 

      Liang, Dan; Antin, Jonathan F.; Lau, Nathan K.; Stulce, Kelly E. (SAFE-D: Safety Through Disruption National University Transportation Center, 2021-02)
      The study examined whether advanced driver assistance systems (ADAS) can benefit the mobility and driving performance of senior drivers. Two groups of driving data, collected separately from two naturalistic driving projects, ...

    • Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements 

      Tsapakis, Ioannis; Das, Subasish; Khodadadi, Ali; Lord, Dominique; Morris, Jessica; Li, Eric (SAFE-D: Safety Through Disruption National University Transportation Center, 2021-03)
      States are required to have access to annual average daily traffic (AADT) for all public paved roads, including non-federal aid system (NFAS) roadways. The expectation is to use AADT estimates in data-driven safety analysis. ...

    • Safety Impact Evaluation of a Narrow-Automated Vehicle-Exclusive Reversible Lane on an Existing Smart Freeway 

      Machiani, Sahar Ghanipoor; Jahangiri, Arash; Melendez, Benjamin; Katthe, Anagha; Hasani, Mahdie; Ahmadi, Alidad; Musial, Walter B. (SAFE-D: Safety Through Disruption National University Transportation Center, 2021-02)
      This study fills the gap in the limited research on the effect of emerging Automated Vehicle (AV) technology on infrastructure standards. The main objective of this research is to evaluate implications of an innovative ...

    • Pediatric Vehicular Heatstroke: Evaluation of Preventative Technologies 

      Glenn, Laurel; Glenn, Eric; Neurauter, Luke (National Surface Transportation Safety Center for Excellence, 2021-04-06)
      In 2018 and 2019, pediatric vehicular heatstroke (PVH) was the leading cause of nontraffic child fatalities involving vehicles in the United States. Legislation is being introduced in Congress to require passenger vehicles ...

    • Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles 

      Talebpour, Alireza; Lord, Dominique; Manser, Michael; Machiani, Sahar Ghanipoor (SAFE-D: Safety Through Disruption National University Transportation Center, 2020-11)
      Reducing crash counts on saturated road networks is one of the most significant benefits of autonomous vehicle (AV) technology. To date, many researchers have studied how AVs maneuver in different traffic situations, but ...

    • Modeling Driver Behavior During Automated Vehicle Platooning Failures 

      McDonald, Anthony D.; Sarkar, Abhijit; Hickman, Jeffrey; Alambeigi, Hananeh; Vogelpohl, Tobias; Markkula, Gustav (SAFE-D: Safety Through Disruption National University Transportation Center, 2021-01)
      Automated vehicles (AVs) promise to revolutionize driving safety. Driver models can aid in achieving this promise by providing a tool for designers to ensure safe interactions between human drivers and AVs. In this project, ...

    • Analysis of an Incentive-Based Smartphone Application for Young Drivers 

      Henk, Russell H.; Munira, Sirajum; Tisdale, Stacey (SAFE-D: Safety Through Disruption National University Transportation Center, 2021-01)
      Traffic crashes remain the leading cause of unintentional youth deaths and injuries across the United States. Development of new and innovative interventions continues, with the aim of addressing this public health issue ...

    • Autonomous Emergency Navigation to a Safe Roadside Location 

      Furukawa, Tomonari; Zuo, Lei; Parker, Robert G.; Yang, Lisheng (SAFE-D: Safety Through Disruption National University Transportation Center, 2020-11)
      In this project, we developed essential modules for achieving the proposed autonomous emergency navigation function for an automated vehicle. We investigated and designed sensing solutions for safe roadside location ...

    • INTEGRATION Large-Scale Modeling Framework of Direct Cellular Vehicle-to-All (C-V2X) Applications 

      Farag, Mohamed M. G.; Rakha, Hesham A.; Mazied, Emadeldin A.; Rao, Jayanthi (MDPI, 2021-03-18)
      The transportation system has evolved into a complex cyber-physical system with the introduction of wireless communication and the emergence of connected travelers and connected automated vehicles. Such applications create ...

    • Applicability of mesopic factors to the driving task 

      Gibbons, Ronald B.; Terry, Travis N.; Bhagavathula, Rajaram; Meyer, Jason E.; Lewis, A. (SAGE, 2016-02-01)
      With the advent of light-emitting diode technology being applied to roadway lighting, the spectral power distribution of the light source is becoming much more important. In this experiment, the detection of pedestrians ...

    • Validated Analytical Modeling of Diesel Engines Intake Manifold with a Flexible Crankshaft 

      Elmoselhy, Salah A.M.; Faris, Waleed F.; Rakha, Hesham A. (MDPI, 2021-02-26)
      The flexibility of a crankshaft exhibits significant nonlinearities in the analysis of diesel engines performance, particularly at rotational speeds of around 2000 rpm. Given the explainable mathematical trends of the ...

    • Estimating Crash Consequences for Occupantless Automated Vehicles 

      Witcher, Christina; Henry, Scott; McClafferty, Julie; Custer, Kenneth; Sullivan, Kaye; Sudweeks, Jeremy; Perez, Miguel (Virgina Tech Transportation Institute, 2021-02)
      Occupantless vehicles (OVs) are a proposed application of automated vehicle technology that would deliver goods from merchants to consumers with neither a driver nor passengers onboard. The purpose of this research was to ...

    • Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis 

      Kim, Hyungil; Song, Miao; Doerzaph, Zachary R. (SAFE-D: Safety Through Disruption National University Transportation Center, 2020-11)
      Automated driving systems (ADS) have the potential to fundamentally change transportation, and a growing number of these systems have entered the market and are currently in use on public roadways. However, drivers may not ...

    • Joint Impact of Rain and Incidents on Traffic Stream Speeds 

      Elhenawy, Mohammed; Rakha, Hesham A.; Ashqar, Huthaifa I. (Hindawi, 2021-01-11)
      Unpredictable and heterogeneous weather conditions and road incidents are common factors that impact highway traffic speeds. A better understanding of the interplay of different factors that affect roadway traffic speeds ...

    • Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control 

      Elouni, Maha; Abdelghaffar, Hossam M.; Rakha, Hesham A. (MDPI, 2021-01-03)
      This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the ...

    • VTTI Annual Report, 2020 Fiscal Year 

      Unknown author (Virginia Tech, 2020)
      Learn more about VTTI's accomplishments during fiscal year 2020.