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2 results about "Traffic count" patented technology
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A traffic count is a count of vehicular or pedestrian traffic, which is conducted along a particular road, path, or intersection. A traffic count is commonly undertaken either automatically (with the installation of a temporary or permanent electronic traffic recording device), or manually by observers who visually count and record traffic on a hand-held electronic device or tally sheet. Traffic counts can be used by local councils to identify which routes are used most, and to either improve that road or provide an alternative if there is an excessive amount of traffic. Also, some geography fieldwork involves a traffic count. Traffic counts provide the source data used to calculate the Annual Average Daily Traffic (AADT), which is the common indicator used to represent traffic volume. Traffic counts are useful for comparing two or more roads, and can also be used alongside other methods to find out where the central business district (CBD) of a settlement is located. Traffic counts that include speeds are used in speed limit enforcement efforts, highlighting peak speeding periods to optimise speed camera use and educational efforts.
A vehicle mileage estimation method based on remote sensing image data and deep learning
A vehicle mileage estimation method based on remote sensing imagery and deep learning includes: constructing a self-labeled dataset by dividing high-resolution satellite images into grid cells; estimating vehicle density using a YOLO-based deep learning model, which achieves multi-scale feature fusion through a three-layer pyramid network for accurate vehicle detection; abstracting the urban road network as a graph structure and employing a cross-temporal graph neural network (CrossGraphNet) to build a model of the relationship between vehicle density and speed for accurate speed prediction; and training a semi-supervised graph neural network vehicle mileage estimation model using traffic count data from ground monitoring stations as ground truth. This model combines vehicle density and speed data with road topology relationships and uses a message passing algorithm to accurately estimate vehicle mileage. This invention overcomes the limitations of traditional methods, effectively improves the efficiency and accuracy of traffic monitoring, and provides strong data support for traffic management and planning.
Owner:THE CHINESE UNIVERSITY OF HONG KONG
Vehicle detection and classification based on vehicle-infrastructure interaction via existing communication cables
PendingJP2026501563ADetection of traffic movementConverting sensor output opticallyDistributed acoustic sensingTraffic count
We disclose a vehicle-infrastructure interaction system and method using a distributed optical fiber sensing (DFOS) system that operates using pre-deployed optical fiber communication cables buried alongside or near highways / roads. It provides a continuous stream of information about vehicle traffic 24 / 7 at multiple locations, requiring only a single optical sensor cable to detect / monitor multiple target locations and multiple lanes. This single optical sensor cable measures multiple relevant vehicle information (multi-parameters), such as vehicle speed, wheelbase, number of axles, and tire pressure. This information can be advantageously used to obtain secondary information, such as vehicle weight, as well as overall information about the vehicle fleet, such as traffic congestion and freight volume. Unlike simple traffic counts, our approach can provide counts grouped by vehicle type and load weight. The high temporal sampling rate of distributed acoustic sensing and a dedicated peak detection algorithm for reliably extracting timing information provide accurate measurements.
Owner:NEC LABORATORIES AMERICA INC