A5067359315- Vehicle emissions and performance
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Urban Transport and Accessibility
- Traffic control and management
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- Electric and Hybrid Vehicle Technologies
- Real-time simulation and control systems
- Transportation and Mobility Innovations
- Autonomous Vehicle Technology and Safety
- Human Mobility and Location-Based Analysis
- Urban and Freight Transport Logistics
- Data Management and Algorithms
- Soil Mechanics and Vehicle Dynamics
- Transportation Systems and Logistics
- Consumer Retail Behavior Studies
- Energy Load and Power Forecasting
- Advanced Aircraft Design and Technologies
- Railway Systems and Energy Efficiency
- Plant Surface Properties and Treatments
- Distributed systems and fault tolerance
- Turbomachinery Performance and Optimization
- Vehicle Dynamics and Control Systems
- Rocket and propulsion systems research
National Renewable Energy Laboratory
2017-2024
Montana State University
2018
Office of Scientific and Technical Information
2017
National Technical Information Service
2017
University of Cincinnati
2015-2016
Smart technologies enabling connection among vehicles and between infrastructure as well vehicle automation to assist human operators are receiving significant attention a means for improving road transportation systems by reducing fuel consumption -and related emissions -while also providing additional benefits through overall traffic safety efficiency.For truck applications, which currently responsible nearly three-quarters of the total U.S. freight energy use greenhouse gas (GHG)...
With the development of smartphones and portable GPS devices, large-scale, high-resolution data can be collected. Map matching is a critical step in studying vehicle driving activity recognizing network traffic conditions from data. A new trajectory segmentation map-matching algorithm proposed to deal accurately efficiently with The separated into segments. It found shortest path for each segment scientific manner ultimately generated best-matched entire trajectory. similarity its matched...
This paper documents the design and application of ATLAS (Automobile Technology Lifecycle-Based ASsignment), a comprehensive household vehicle transaction technology adoption micro-simulator in San Francisco Bay Area. evolves fleet mix individual households by simulating choice decisions response to co-evolving demographics, land use, simulations. While most existing literature has focused on aggregate clean uptake, this differentiates distributional effects decomposes underlying mechanisms...
An analysis of the flow field around a maple seed as it rotates and subsequent comparison to wind turbine blades is discussed. Physical values were determined experimentally from real sample high speed video imaging. Three dimensional computational fluid dynamics was used simulate in autorotation. Expected behaviors have been observed, parallels with performance drawn, potential for higher accuracy explained. Comparison key quantities between true turbines has shown design implications...
New technologies such as connected and automated vehicles have attracted more research attention for their potential to improve the energy efficiency environmental impact of current transportation systems. Green routing is one vehicle strategy under which drivers receive information about most fuel-efficient route before departing a given destination. This paper introduces an evaluation framework estimating benefits green based on large-scale, real-world travel data. The has capability...
REL completed a temporal and geospatial analysis of telematics data to estimate the fraction platoonable miles traveled by class 8 tractor trailers currently in operation.This paper discusses value limitations very large but low time-resolution sets, fuel consumption reduction opportunities from scale adoption platooning technology for highway vehicles US based on data.The set consist about 57,000 unique traveling over 210 million combined during two-week period.75% total result operating...
A data-informed model to predict energy use for a proposed vehicle trip has been developed in this paper. The methodology leverages roughly one million miles of real-world driving data generate the estimation model. Driving is categorized at sub-trip level by average speed, road gradient, and network geometry, then aggregated category. An consumption rate determined each category, creating an look-up table. Proposed trips are same manner, estimated rates appended from robust applicable wide...
<div class="section abstract"><div class="htmlview paragraph">The emergence of connected and automated vehicles smart cities technologies create the opportunity for new mobility modes routing decision tools, among many others. To achieve maximum minimum energy consumption, it is critical to understand cost decisions optimize accordingly. The Route Energy prediction model (RouteE) enables accurate estimation consumption a variety vehicle types over trips or sub-trips where...
The green-routing strategy instructing a vehicle to select fuel-efficient route benefits the current transportation system with fuel-saving opportunities. This paper introduces navigation application programming interface (API), evaluation framework for estimating fuel advantages of alternative API routes based on large-scale, real-world travel data conventional vehicles (CVs) and hybrid electric (HEVs). Navigation APIs, such as Google Directions API, integrate traffic conditions provide...
The present age of unmanned aerial vehicles demands small and highly efficient propulsion techniques. This is the motivation for work. Advanced Propulsion Outreach Program sponsored by Air Force Research Laboratory challenged teams at universities across country to redesign components JetCat P90 gas turbine engine improvements in efficiency, thrust, weight, specific fuel consumption. team University Cincinnati was assigned inlet/compressor section elected diffuser an improvement total...
Real-time highly resolved spatial-temporal vehicle energy consumption is a key missing dimension in transportation data. Most roadway link-level data are estimated using average annual daily traffic measures derived from the Highway Performance Monitoring System; however, this method does not reflect day-to-day fluctuations. As planners and operators becoming more environmentally attentive, they need accurate real-time to assess emissions; incentivize energy-efficient routing; estimate...
Travel mode classification within travel survey data sets, especially light-duty vehicle (LDV) trips, is foundational, though nontrivial, to emerging mobility systems, behavior analysis, and fuel consumption estimation. Current detection approaches require well-sampled balanced sets with ground-truth labels. The are rarely applied validated on large-scale, real-world which may not satisfy the set requirements. This article proposes an LDV trip model as a supplement current methods for case...