AIMC Topic: Accidents, Traffic
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Why public health should embrace the autonomous car.
Australian and New Zealand journal of public health
Oct 23, 2016
Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks.
International journal of injury control and safety promotion
Sep 8, 2016
Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too...
Rule extraction from an optimized neural network for traffic crash frequency modeling.
Accident; analysis and prevention
Aug 31, 2016
This study develops a neural network (NN) model to explore the nonlinear relationship between crash frequency and risk factors. To eliminate the possibility of over-fitting and to deal with the black-box characteristic, a network structure optimizati...
Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?
Accident; analysis and prevention
Jul 18, 2016
With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. The...
Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach.
IEEE transactions on cybernetics
Jun 9, 2016
This paper deals with collision and hazard detection for motorcycles via inertial measurements. For this kind of vehicles, the most difficult challenge is to distinguish road's anomalies from real hazards. This is usually done by setting absolute thr...
Can cyclist safety be improved with intelligent transport systems?
Accident; analysis and prevention
May 14, 2016
In recent years, Intelligent Transport Systems (ITS) have assisted in the decrease of road traffic fatalities, particularly amongst passenger car occupants. Vulnerable Road Users (VRUs) such as pedestrians, cyclists, moped riders and motorcyclists, h...
Investigating driver injury severity patterns in rollover crashes using support vector machine models.
Accident; analysis and prevention
Mar 1, 2016
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is important to investigate the factors that affect rollover crashes and their influence on driver injury severity outcomes. This study employs support vector ...
Fuzzy logic inference-based Pavement Friction Management and real-time slippery warning systems: A proof of concept study.
Accident; analysis and prevention
Feb 22, 2016
Minimizing roadway crashes and fatalities is one of the primary objectives of highway engineers, and can be achieved in part through appropriate maintenance practices. Maintaining an appropriate level of friction is a crucial maintenance practice, du...
Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey.
Traffic injury prevention
Jan 13, 2016
OBJECTIVE: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fau...
TWSVR: Regression via Twin Support Vector Machine.
Neural networks : the official journal of the International Neural Network Society
Nov 3, 2015
Taking motivation from Twin Support Vector Machine (TWSVM) formulation, Peng (2010) attempted to propose Twin Support Vector Regression (TSVR) where the regressor is obtained via solving a pair of quadratic programming problems (QPPs). In this paper ...
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