Transportation agencies often rely on manual surveys to monitor seatbelt compliance; however, these methods are limited by surveyor fatigue, reduced visibility due tinted windows or low lighting, and restricted coverage specific locations, making prone errors unrepresentative of the broader driving population. This paper presents an automated detection system leveraging YOLO11 neural network video footage from a tethered uncrewed aerial vehicle (UAV). The objectives (1) develop robust for...

In recent years, there has been a growing desire for the use of probe vehicle technology congestion detection and general infrastructure performance assessment. Unlike costly traditional data collection by loop detectors, wide area using probe-based traffic is significantly different in terms nature collection, measurement technique, coverage, pricing, so on. Although many researches have studied data, remains critical questions such as coverage penetration over time, or influential factors...

Transportation agencies strive to optimize their spending on data collection by exploring efficient techniques that provide reliable traffic data. In recent years, the automobile industry has experienced vast developments in wireless technology enables collect valuable large volumes from connected vehicles (CVs). Unlike traditional techniques, CV or probe are economically feasible for wide-area coverage. Therefore, this study aims explore provided Wejo Connected Vehicle Data Solutions...

This paper presents a framework for evaluating the reliability of probe-sourced traffic speed data detection congestion and assessment roadway performance. The methodology outlined uses pattern recognition to quantify accurately similarities dissimilarities benchmarked local sensor data. First, algorithm called empirical mode decomposition was used define short-, medium-, long-term trends infrastructure-mounted sets. probe then estimated on basis similarity or synchrony between corresponding...

Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, evaluating facility performance. This paper uses a modified five-parameter logistic model to describe the speed-density relationship. The calibrated models show that stop-and-go speed (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This paper presents a framework for evaluating the reliability of probe-sourced traffic speed data congestion detection and general infrastructure performance assessment. The methodology outlined employs pattern recognition time-series analysis to accurately quantify similarity dissimilarities between benchmarked local sensor data. First, an adaptive multiscale algorithm called Empirical Mode Decomposition (EMD) is used define short, medium long-term trends mounted datasets. probe then...

Microscopic traffic modelling is a popular tool in the transportation field, but using such models comes with significant data needs order to properly calibrate them. Two important driver behavior parameters these are preferred time headways and standstill distances. In this paper, an economical method for collecting distances presented applied urban freeways Iowa, USA. The following were categorized into four combinations of car truck pairs. It was found that headway values largely depend...

Rural intersections account for around 30% of crashes in rural areas and 6% all fatal crashes. An Intersection Conflict Warning System (ICWS) is a unique solution to address intersection safety. ICWS are typically installed at the minor approaches two-way stop-controlled reduce number fatalities. Studies indicate these systems result lower approach speeds, reduced conflicts, improved driver-gap selection. However, some sites have experienced increases Although there positive examples, their...

Small rural communities in the United States are often located along major state or county roadways and as a result, most of traffic their main thoroughfare is pass-through rather than local traffic. Unfortunately, drivers passing through these enter at high rates speeds which sometimes significantly higher posted speed segment. High create safety issue for communities. They also discourage pedestrian activities, such walking bicycling, community interaction vitality. Rural lack engineering...

Roadway departure crashes are a significant safety concern. The majority of these occur on rural two-lane roadways, with disproportionate number occurring horizontal curves. average crash rate for curves is about three times that other highway segments. Curve-related involve roadway and driver causative factors, speed being preeminent factor. Implementing countermeasures to address types can improve the performance. Chevron alignment signs provide additional emphasis guidance drivers...

This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. analysis is not intended grade but assist in identifying requiring more training or resources management. Previous NCHRP reports discussed usage of different factors including severity, characteristics, number lanes involved and time separately estimating the performance. However, it does tell us how incorporate all at same time. Thus, this aims account multiple...

Dynamic message sign (DMS) systems aim to provide realistic, reliable, and real-time traffic information roadway users. This study investigated the performance of a DMS present at work zone that warns drivers any imminent congestion. A in Davenport, Iowa, was used as test site evaluate proposed algorithm improvements. typical automated uses dedicated sensor measuring speed or occupancy simple thresholds post messages warning congestion by using set predefined such “Traffic Delays Possible,”...

Connected temporary traffic control devices (cTTCDs) that provide their location and status are a new tool infrastructure owners operators can begin to use improve the accuracy of work zone data. By improving data, better information be provided public. Publishing these data through WZDx (Work Zone Data Exchange) aims safety by notifying drivers vehicles verified zones. such as smart arrow boards connected cones have continued increase in number market, but little has been done determine...

Effective performance of arterial corridors is essential to community safety and vitality. Considering the dynamic nature traffic demand, efficient management these require frequent updating signal timings through various strategies. Agency resources for activities are commonly scarce primarily by public complaints.This study provides a workflow using probe-based data measure compare different segments on in terms measures that can capture travel time dynamics across signalized...

Accurate and timely detection of traffic accidents is crucial for transportation agencies seeking swift responses effective management, particularly on freeways where crash severity flow disruptions are amplified. While several methods have been developed using cameras or infrastructure-mounted sensors, these approaches may face challenges in geographical scalability. To address this issue, a novel approach has that leverages real-time connected vehicle trajectories at market penetration...