AIMC Topic: Accidents, Traffic

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A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data.

Accident; analysis and prevention Nov 1, 2018
The primary objective of this study is to investigate how the deep learning approach contributes to citywide short-term crash risk prediction by leveraging multi-source datasets. This study uses data collected from Manhattan in New York City to illus...
Humans Risk Assessment Deep Learning Weather Spatial Analysis Built Environment New York City Logistic Models Automobiles Accidents, Traffic
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The Moral Machine experiment.

Nature Oct 24, 2018
With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To a...
Internet Male Morals Decision Making Harm Reduction Humans Pedestrians Public Opinion Accidents, Traffic Translating Robotics Artificial Intelligence Motor Vehicles Female Data Collection Internationality
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Evaluating the influence of road lighting on traffic safety at accesses using an artificial neural network.

Traffic injury prevention Aug 7, 2018
OBJECTIVES: This article focuses on the effect of road lighting on road safety at accesses to quantitatively analyze the relationship between road lighting and road safety.
Automobile Driving Humans Environment Design Accidents, Traffic Neural Networks, Computer Safety Algorithms Lighting China
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Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks.

Sensors (Basel, Switzerland) Jun 12, 2018
Traffic collisions between kangaroos and motorists are on the rise on Australian roads. According to a recent report, it was estimated that there were more than 20,000 kangaroo vehicle collisions that occurred only during the year 2015 in Australia. ...
Animals Support Vector Machine Accidents, Traffic Macropodidae Neural Networks, Computer
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Market penetration of intersection AEB: Characterizing avoided and residual straight crossing path accidents.

Accident; analysis and prevention Mar 30, 2018
Car occupants account for one third of all junction fatalities in the European Union. Driver warning can reduce intersection accidents by up to 50 percent; adding Autonomous Emergency Braking (AEB) delivers a reduction of up to 70 percent. However, t...
European Union Deceleration Environment Protective Devices Motor Vehicles Accidents, Traffic Automobile Driving Automation Commerce Wounds and Injuries Germany Vision, Ocular Artificial Intelligence Humans Technology Emergencies
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A trial of retrofitted advisory collision avoidance technology in government fleet vehicles.

Accident; analysis and prevention Mar 13, 2018
In-vehicle collision avoidance technology (CAT) has the potential to prevent crash involvement. In 2015, Transport for New South Wales undertook a trial of a Mobileye 560 CAT system that was installed in 34 government fleet vehicles for a period of s...
Automobile Driving Attitude Protective Devices Surveys and Questionnaires Accidents, Traffic Safety New South Wales Motor Vehicles Artificial Intelligence Technology Female Adult Male Emergencies Humans
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Modeling when and where a secondary accident occurs.

Accident; analysis and prevention Feb 2, 2018
The occurrence of secondary accidents leads to traffic congestion and road safety issues. Secondary accident prevention has become a major consideration in traffic incident management. This paper investigates the location and time of a potential seco...
Humans Neural Networks, Computer Support Vector Machine Accidents, Traffic California
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Edge conditions and crash-avoidance roles: the future of traffic safety in the world of autonomous vehicles.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Jan 20, 2018
Automation Motor Vehicles Consumer Product Safety Accidents, Traffic Humans Safety Artificial Intelligence Automobile Driving
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Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network.

Accident; analysis and prevention Dec 22, 2017
Identification of the significant factors of traffic crashes has been a primary concern of the transportation safety research community for many years. A fatal-injury crash is a comprehensive result influenced by multiple variables involved at the mo...
Seat Belts Humans Washington Neural Networks, Computer Female Age Factors Algorithms Accidents, Traffic Risk Factors Automobile Driving Male
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Machine learning, social learning and the governance of self-driving cars.

Social studies of science Nov 21, 2017
Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as wel...
Humans Accidents, Traffic Machine Learning Motor Vehicles Technology Social Learning
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