Fusion of weigh-in-motion and global positioning system data to estimate truck weight distributions at traffic count sites
S Hernandez, K Hyun - Journal of Intelligent Transportation …, 2020 - Taylor & Francis
Truck weight data is needed for a wide range of applications including but not limited to
pavement design, weight enforcement, traffic monitoring, and freight transportation planning …
pavement design, weight enforcement, traffic monitoring, and freight transportation planning …
Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors
Bridges are critical components of highways ensuring traffic can efficiently travel over
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …
Understanding the effects of vehicle platoons on crash type and severity
Crash type is an informative indicator to infer driving behaviors and conditions that cause a
crash. For example, rear-end and side-swipe crashes are typically caused by improper …
crash. For example, rear-end and side-swipe crashes are typically caused by improper …
Vehicle re-identification for lane-level travel time estimations on congested urban road networks using video images
The provision of lane-level travel time information can enable accurate traffic control and
route guidance in urban roads with distinctive traffic conditions among lanes. However, few …
route guidance in urban roads with distinctive traffic conditions among lanes. However, few …
Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes
This research developed a method for evaluating and integrating emerging sources (Strava,
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …
Image-based learning to measure the space mean speed on a stretch of road without the need to tag images with labels
J Lee, S Roh, J Shin, K Sohn - Sensors, 2019 - mdpi.com
Space mean speed cannot be directly measured in the field, although it is a basic parameter
that is used to evaluate traffic conditions. An end-to-end convolutional neural network (CNN) …
that is used to evaluate traffic conditions. An end-to-end convolutional neural network (CNN) …
Predicting freeway travel time using multiple-source heterogeneous data integration
K Long, W Yao, J Gu, W Wu, LD Han - Applied Sciences, 2018 - mdpi.com
Freeway travel time is influenced by many factors including traffic volume, adverse weather,
accidents, traffic control, and so on. We employ the multiple source data-mining method to …
accidents, traffic control, and so on. We employ the multiple source data-mining method to …
Determining optimal sensor locations under uncertainty for a truck activity monitoring system on California freeways
A new hybrid sensor technology integrating existing weigh-in-motion axle configuration data
combined with inductive signature data obtained from advanced inductive loop detectors is …
combined with inductive signature data obtained from advanced inductive loop detectors is …
Feasibility of a portable weigh-in-motion system for axle load data collection on secondary highways
M Olfert - 2021 - mspace.lib.umanitoba.ca
This research investigates the feasibility of using a commercially available portable weigh-in-
motion (WIM) system to improve the spatial representation of axle load data from trucks …
motion (WIM) system to improve the spatial representation of axle load data from trucks …
Develop New Methods to Use ODOT Weigh-in-Motion Data for Predicting Freight Flow and/or Commodity Patterns
This study presents the results of a detailed analysis of Oregon weigh-in-motion (WIM) data.
First, a quality control analysis was conducted considering Oregon Department of …
First, a quality control analysis was conducted considering Oregon Department of …