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作品数：779被引量：921H指数：13
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相关机构：北京航天发射技术研究所上海交通大学中国科学院数学与系统科学研究院上海师范大学更多>>
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Spatiotemporal Analysis of Pavement Roughness Using Connected Vehicle Data for Asset Management
《Journal of Transportation Technologies》2025年第1期1-16,共16页Jijo K. Mathew Jairaj Desai Rahul Suryakant Sakhare Jeremy Hunter Darcy M. Bullock 
Pavement condition monitoring and its timely maintenance is necessary to ensure the safety and quality of the roadway infrastructure. The International Roughness Index (IRI) is a commonly used measure to quantify road...
关键词：Connected Vehicles PAVEMENT Pavement Quality ROUGHNESS IRI Dashcam 
Evaluating the Robustness of MDSS Maintenance Forecasts Using Connected Vehicle Data
《Journal of Transportation Technologies》2024年第4期549-569,共21页Gregory L. Brinster Jairaj Desai Myles W. Overall Christopher Gartner Rahul Suryakant Sakhare Jijo K. Mathew Nick Evans Darcy Bullock 
The Indiana Department of Transportation (INDOT) adopted the Maintenance Decision Support System (MDSS) for user-defined plowing segments in the winter of 2008-2009. Since then, many new data sources, including connec...
关键词：Weather Forecasting Winter Weather Connected Vehicle Data After-Action Report 
Artificial Intelligence-Based Sentiment Analysis of Dynamic Message Signs that Report Fatality Numbers Using Connected Vehicle Data
《Journal of Transportation Technologies》2024年第4期590-606,共17页Dorcas O. Okaidjah Jonathan Wood Christopher M. Day 
This study presents results from sentiment analysis of Dynamic message sign (DMS) message content, focusing on messages that include numbers of road fatalities. As a traffic management tool, DMS plays a role in influe...
关键词：Intelligent Transportation System Sentiment Analysis Dynamic Message Signs Large Language Models Traffic Safety Artificial Intelligence 
Application of Connected Truck Data to Evaluate Spatiotemporal Impact of Rest Area Closures on Ramp Parking
《Journal of Transportation Technologies》2024年第3期289-307,共19页Jijo K. Mathew Jairaj Desai Edward D. Cox Darcy M. Bullock 
Ensuring adequate access to truck parking is critical to the safe and efficient movement of freight traffic. There are strict federal guidelines for commercial truck driver rest periods. Rest areas and private truck s...
关键词：Connected Truck Data Rest Areas Exit Ramps Truck Parking Commercial Vehicles 
Correlating Connected Vehicle Estimated Deceleration Events with Crash Incidents near Interstate Interchanges
《Journal of Transportation Technologies》2023年第4期674-688,共15页Jairaj Desai Jijo K. Mathew Howell Li Justin Mukai Rahul Suryakant Sakhare Darcy M. Bullock 
Historical roadway safety analyses have used labor and time-intensive crash data collection procedures. However, crash reporting is often delayed and crash locations are reported with varying levels of spatial accurac...
关键词：Connected Vehicles Hard-Braking Crashes Safety DECELERATION 
Comparison of Estimated Cycle Split Failures from High-Resolution Controller Event and Connected Vehicle Trajectory Data
《Journal of Transportation Technologies》2023年第4期689-707,共19页Saumabha Gayen Enrique D. Saldivar-Carranza Darcy M. Bullock 
Current traffic signal split failure (SF) estimations derived from high-resolution controller event data rely on detector occupancy ratios and preset thresholds. The reliability of these techniques depends on the sele...
关键词：Split Failure Connected Vehicle Detector Traffic Signal Performance Measures Trajectory Data 
Methodology for Automatically Setting Camera View to Mile Marker for Traffic Incident Management
《Journal of Transportation Technologies》2023年第4期708-730,共23页Jijo K. Mathew Haydn A. Malackowski Christopher M. Gartner Jairaj Desai Edward D. Cox Ayman F. Habib Darcy M. Bullock 
Traffic incident management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring safety of responders. Agency roadside cameras play a...
关键词：Roadside Cameras Traffic Incident Management Connected Vehicles TRAJECTORY 
Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Data: Empirical Traffic Flow Visualization and Performance Measurement
《Journal of Transportation Technologies》2023年第3期327-352,共26页Shoaib Mahmud Christopher M. Day 
Emerging connected vehicle (CV) data sets have recently become commercially available, enabling analysts to develop a variety of powerful performance measures without deploying any field infrastructure. This paper pre...
关键词：Traffic Signal Performance Measures Vehicle Trajectory Data Connected Vehicle Data 
Truck and Passenger Car Connected Vehicle Penetration on Indiana Roadways被引量：1
《Journal of Transportation Technologies》2022年第4期578-599,共22页Rahul Suryakant Sakhare Margaret Hunter Justin Mukai Howell Li Darcy Michael Bullock 
Commercially available connected vehicle (CV) probe data has been demonstrated to provide scalable and near-real-time methodologies to evaluate the performance of road networks for various applications. However, one o...
关键词：Connected Vehicle Data Trucks PENETRATION Big Data 
Using Connected Truck Trajectory Data to Compare Speeds in States with and without Differential Truck Speeds
《Journal of Transportation Technologies》2022年第4期681-695,共15页Jairaj Desai Jijo Kulathintekizhakethil Mathew Howell Li Darcy Michael Bullock 
Historically, researchers and practitioners have utilized spot speeds and microscopic simulation methodologies to evaluate the operational impact of differential or uniform speed limits for trucks and passenger vehicl...
关键词：Connected Vehicle Data Trucks Differential Speed Limits Interstates 
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