AIMC Topic: Accidents, Traffic
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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...
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...
Development of pedestrian crash prediction model for a developing country using artificial neural network.
International journal of injury control and safety promotion
Jul 4, 2019
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...
Real-time accident detection: Coping with imbalanced data.
Accident; analysis and prevention
Jun 3, 2019
Detecting accidents is of great importance since they often impose significant delay and inconvenience to road users. This study compares the performance of two popular machine learning models, Support Vector Machine (SVM) and Probabilistic Neural Ne...
Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.
Journal of safety research
May 10, 2019
INTRODUCTION: In this paper, we present machine learning techniques to analyze pedestrian and bicycle crash by developing macro-level crash prediction models.
Development and validation of a questionnaire to assess public receptivity toward autonomous vehicles and its relation with the traffic safety climate in China.
Accident; analysis and prevention
Apr 12, 2019
The advent of autonomous vehicles (AVs) has gained increasing attention in China. Although auto manufacturers and innovators have attempted to confirm that AVs are safe and have introduced them on public roads, it is vital to understand end-users' ac...
AEB effectiveness evaluation based on car-to-cyclist accident reconstructions using video of drive recorder.
Traffic injury prevention
Mar 1, 2019
OBJECTIVE: Though autonomous emergency braking (AEB) systems for car-to-cyclist collisions have been under development, an estimate of the benefit of AEB systems based on an analysis of accident data is needed for further enhancing their development....
Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework.
International journal of environmental research and public health
Jan 25, 2019
The objective of this paper is to predict the future driving risk of crash-involved drivers in Kunshan, China. A systematic machine learning framework is proposed to deal with three critical technical issues: 1. defining driving risk; 2. developing r...
Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience.
Accident; analysis and prevention
Jan 17, 2019
This study presents the work in predicting crash risk on expressways with consideration of both the impact of safety critical events and traffic conditions. The traffic resilience theory is introduced to learn safety problems from the standpoint of 1...
Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way.
Accident; analysis and prevention
Jan 17, 2019
Negotiations among drivers and pedestrians are common on roads, but it is still challenging for a self-driving vehicle to negotiate for its right of way with other human road users, especially pedestrians. Currently, the self-driving vehicles are pro...
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