- Argonne National Laboratory 1
- George Mason University. Dept. of Civil, Environmental and Infrastructure Engineering 1
- Marshall University 1
- Old Dominion University 1
- Old Dominion University. Dept of Civil and Environmental Engineering 1
- Old Dominion University. Transportation Research Institute 1
- United States. Department of Transportation. Bureau of Transportation Statistics. Office of Statistical and Economic Analysis 1
- Virginia Transportation Research Council (VTRC) 1
- Acceleration (Mechanics) 1
- Algorithms 1
- Automatic vehicle detection and identification systems 1
- Behavior 1
- Classification 1
- Commodity flow 1
- Count models 1
- Crash frequency 1
- Data fusion 1
- Discrete choice 1
- Drivers 1
- Driving 1
- Dynamic toll strategies, 1
- Econometric models 1
- Estimating 1
- Express toll lanes 1
- Feasibility analysis 1
- freight modeling 1
- Freight terminals 1
- Generalized ordered response 1
- Global Positioning System 1
- High occupancy toll lanes 1
- Information processing 1
- Intermodal terminals 1
- Laser radar 1
- LIDAR 1
- Machine learning 1
- Mobile sensors 1
- Negative binomial 1
- Peak periods 1
- Poisson 1
- Regional planning 1
- Regional traffic simulation models 1
- Research Hub 1
- Sensors 1
- Smartphones 1
- Speed 1
- Stop purpose 1
- Telematics 1
- Traffic safety 1
- Traffic volume 1
- Trailers 1
- Travel time 1
- Trip purpose 1
- truck body types 1
- Trucks 1
- Truck tour 1
- Variable tolls 1
- Vehicle classification 1
- 114667 1
- DTRT13-G-UTC33 1
(Max 200)
- Argonne National Laboratory (1)
- George Mason University. Dept. of Civil, Environmental and Infrastructure Engineering (1)
- Marshall University (1)
- Old Dominion University (1)
- Old Dominion University. Dept of Civil and Environmental Engineering (1)
- Old Dominion University. Transportation Research Institute (1)
- United States. Department of Transportation. Bureau of Transportation Statistics. Office of Statistical and Economic Analysis (1)
- Virginia Transportation Research Council (VTRC) (1)
- Acceleration (Mechanics) (1)
- Algorithms (1)
- Automatic vehicle detection and identification systems (1)
- Behavior (1)
- Classification (1)
- Commodity flow (1)
- Count models (1)
- Crash frequency (1)
- Data fusion (1)
- Discrete choice (1)
- Drivers (1)
- Driving (1)
- Dynamic toll strategies, (1)
- Econometric models (1)
- Estimating (1)
- Express toll lanes (1)
- Feasibility analysis (1)
- freight modeling (1)
- Freight terminals (1)
- Generalized ordered response (1)
- Global Positioning System (1)
- High occupancy toll lanes (1)
- Information processing (1)
- Intermodal terminals (1)
- Laser radar (1)
- LIDAR (1)
- Machine learning (1)
- Mobile sensors (1)
- Negative binomial (1)
- Peak periods (1)
- Poisson (1)
- Regional planning (1)
- Regional traffic simulation models (1)
- Research Hub (1)
- Sensors (1)
- Smartphones (1)
- Speed (1)
- Stop purpose (1)
- Telematics (1)
- Traffic safety (1)
- Traffic volume (1)
- Trailers (1)
- Travel time (1)
- Trip purpose (1)
- truck body types (1)
- Trucks (1)
- Truck tour (1)
- Variable tolls (1)
- Vehicle classification (1)
- :Sahin, Olcay ;Paleti, Rajesh2016-05-23:In spite of various advancements in vehicle safety technologies and improved roadway design practices, roadway crashes remain a major challenge. While...
- :Zhu, Shanjiang ;Cetin, Mecit2021-08-01:Virginia has invested significant resources in the development of express toll lanes (ETLs), which adjust toll rates dynamically based on the level of...
- :Cetin, Mecit ;Sahin, Olcay2019-03-01:Understanding the types and volumes of different commodities being hauled over the roadway network is important for freight demand modeling and planni...
- :Stinson, Monique ;Sahin, Olcay2024-01-01:Truck tour data are important for understanding freight truck operations and their impacts on the economy, congestion, and sustainability. Tour data c...
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