Diversion of Interstate traffic can significantly impact the surrounding road network with increased volumes and congestion. This paper uses commercially available connected vehicle data to examine … [Read more...] about Methodology for Applying Connected Vehicle Data to Evaluate Impact of Interstate Construction Work Zone Diversions
Traffic Characteristics
Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data
Crash reduction factors are widely used by engineers for prioritizing safety investments. Work zones are routinely analyzed by the length and duration of queues. Queue detection warning technology has … [Read more...] about Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data
Road Work Ahead: Using Deep Neural Networks to Estimate the Impacts of Work Zones
Roadside construction – be it a detour, a closed lane, or a slow weave past workers and equipment – work zones impact traffic flow and travel times on a system-wide level. The ability to predict … [Read more...] about Road Work Ahead: Using Deep Neural Networks to Estimate the Impacts of Work Zones
Development of Operation Guidelines for Leader–Follower Autonomous Maintenance Vehicles at Work Zone Locations
The rapid advancement of connected and autonomous vehicle (CAV) technologies, although possibly years away from wide application to the general public travel, are receiving attention from many state … [Read more...] about Development of Operation Guidelines for Leader–Follower Autonomous Maintenance Vehicles at Work Zone Locations
Analysis of Headway and Speed Based on Driver Characteristics and Work Zone Configurations Using Naturalistic Driving Study Data
The objective of this paper is to analyze headway and speed distribution based on driver characteristics and work zone (WZ) configurations by utilizing Naturalistic Driving Study (NDS) data. The NDS … [Read more...] about Analysis of Headway and Speed Based on Driver Characteristics and Work Zone Configurations Using Naturalistic Driving Study Data