Results 21 to 30 of about 16,477 (251)
Traffic Trajectory Anomaly Detection Method Based on Reconstruction Error [PDF]
The rapid development of sensor technology has spawned a large amount of traffic trajectory data,and trajectory ano-maly detection has important application value in smart transportation,urban planning,road monitoring and other fields.Aiming at the ...
LI Chao-neng, FENG Guan-wen, LIU Ru-yi, MIAO Qi-guang
doaj +1 more source
Road anomalies, such as cracks, pits and puddles, have generally been identified by citizen reports made by e-mail or telephone; however, it is difficult for administrative entities to locate the anomaly for repair.
Tsuyoshi Ishikawa, Kaori Fujinami
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RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones [PDF]
Monitoring the road pavement is a challenging task. Authorities spend time and finances to monitor the state and quality of the road pavement. This paper investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope.
Seraj, Fatjon +4 more
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Real-Time Road Traffic Anomaly Detection
Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents.
Jamal Raiyn, Tomer Toledo
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A Three-Stage Anomaly Detection Framework for Traffic Videos
As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce ...
Junzhou Chen +3 more
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Enabling real-time road anomaly detection via mobile edge computing
To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods
Zengwei Zheng +4 more
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Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management
Abnormal phenomena on urban roads, including uneven surfaces, garbage, traffic congestion, floods, fallen trees, fires, and traffic accidents, present significant risks to public safety and infrastructure, necessitating real-time monitoring and early ...
Hanyu Ding, Yawei Du, Zhengyu Xia
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Algorithm of Map Matching Based on Curve Fitting and Topological Structure [PDF]
Aiming at the lower matching precision problem of existing map matching algorithms in intensive road,this paper puts forward an improved matching algorithm with curve fitting,which puts relative error as the benchmark.Firstly,the interpolation method is ...
TENG Zhijun,QU Zhaoqiang,HOU Xueyan,JIA Taozheng,ZHAO Caibo,XIA Bin
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An optimized routing algorithm for vehicle ad-hoc networks
Efficient routing algorithms are essential to guarantee reliable communication in Vehicular Adhoc Networks (VANETs). In this paper, we present a twofold approach entailing the design of a new route metric for VANET communication, which considers ...
H. Bello-Salau +5 more
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Detection of Road Traffic Anomalies Based on Computational Data Science [PDF]
Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power.
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