AIMC Topic: Accidents, Traffic

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The importance of flow composition in real-time crash prediction.

Accident; analysis and prevention Jan 31, 2020
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type such as light, heavy and motorcycles. Thus, little effort has been made to quantify the impact of flow composition variables as crash precursors. We anal...
Motorcycles Accidents, Traffic Built Environment Humans Support Vector Machine Chile Logistic Models
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Predicting real-time traffic conflicts using deep learning.

Accident; analysis and prevention Jan 10, 2020
Recently, technologies for predicting traffic conflicts in real-time have been gaining momentum due to their proactive nature of application and the growing implementation of ADAS technology in intelligent vehicles. In ADAS, machine learning classifi...
Humans Algorithms Accidents, Traffic Safety Data Collection Reproducibility of Results Deep Learning
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis.

Accident; analysis and prevention Dec 20, 2019
Detecting traffic accidents as rapidly as possible is essential for traffic safety. In this study, we use eXtreme Gradient Boosting (XGBoost)-a Machine Learning (ML) technique-to detect the occurrence of accidents using a set of real time data compri...
Humans Machine Learning Models, Statistical Spatial Analysis Built Environment Chicago Accidents, Traffic Weather
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Highway crash detection and risk estimation using deep learning.

Accident; analysis and prevention Dec 13, 2019
Crash Detection is essential in providing timely information to traffic management centers and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding secondary crashes and safeguarding highway traffic. For many years...
Data Collection Deep Learning Humans Logistic Models Risk Assessment Accidents, Traffic
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Real-time crash risk prediction on arterials based on LSTM-CNN.

Accident; analysis and prevention Nov 26, 2019
Real-time crash risk prediction is expected to play a crucial role in preventing traffic accidents. However, most existing studies only focus on freeways rather than urban arterials. This paper proposes a real-time crash risk prediction model on arte...
Bayes Theorem Accidents, Traffic Neural Networks, Computer Logistic Models Humans
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Being watched over by a conversation robot may enhance safety in simulated driving.

Journal of safety research Nov 21, 2019
INTRODUCTION: In an aging society that is more and more information-oriented, being able to replace human passengers' protective effects on vehicle drivers with those of social robots is both essential and promising. However, the effects of a social ...
Female Aged Adult Communication Young Adult Humans Attention Age Factors Male Automobile Driving Robotics Middle Aged Accidents, Traffic
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Detecting motorcycle helmet use with deep learning.

Accident; analysis and prevention Nov 6, 2019
The continuous motorization of traffic has led to a sustained increase in the global number of road related fatalities and injuries. To counter this, governments are focusing on enforcing safe and law-abiding behavior in traffic. However, especially ...
Motorcycles Myanmar Deep Learning Cities Data Collection Head Protective Devices Accidents, Traffic Humans Adult Male
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Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach.

Accident; analysis and prevention Oct 4, 2019
Predicting crash propensity helps study safety on urban expressways in order to implement countermeasures and make improvements. It also helps identify and prevent crashes before they happen. However, collecting real-time wide-coverage traffic inform...
Accidents, Traffic Risk Assessment Built Environment China Support Vector Machine Logistic Models Humans Automobiles
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A novel bio-heuristic computing algorithm to solve the capacitated vehicle routing problem based on Adleman-Lipton model.

Bio Systems Jul 29, 2019
DNA computing, as one of potential means to solve complicated computational problems, is a new field of interdisciplinary research, including computational mathematics, parallel algorithms, bioinformatics. Capacitated vehicle routing problem is one o...
Transportation Motor Vehicles Computers, Molecular Algorithms Accidents, Traffic Humans Computer Heuristics Computer Simulation Computational Biology Cities Problem Solving Models, Theoretical
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A novel RFID multi-tag anti-collision protocol for dynamic vehicle identification.

PloS one Jul 5, 2019
In order to obtain the information of the vehicle tags in adverse traffic conditions, we proposed a novel reservation framework named reservation to cancel idle-dynamic frame slotted ALOHA (RTCI-DFSA) algorithm. Firstly, the framework employed reserv...
Accidents, Traffic Artificial Intelligence Radio Frequency Identification Device Algorithms
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