AIMC Topic: Environment Design
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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...
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.
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...
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.
The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents' Exposure to Urban Greenness.
International journal of environmental research and public health
Jul 25, 2018
Many studies have established that urban greenness is associated with better health outcomes. Yet most studies assess urban greenness with overhead-view measures, such as park area or tree count, which often differs from the amount of greenness perce...
A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.
Computational intelligence and neuroscience
Nov 9, 2017
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collec...
Controlling robots in the home: Factors that affect the performance of novice robot operators.
Applied ergonomics
Jun 6, 2017
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...
Predictability and interpretability of hybrid link-level crash frequency models for urban arterials compared to cluster-based and general negative binomial regression models.
International journal of injury control and safety promotion
Feb 24, 2017
Machine learning (ML) techniques have higher prediction accuracy compared to conventional statistical methods for crash frequency modelling. However, their black-box nature limits the interpretability. The objective of this research is to combine bot...
Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London.
Bio Systems
May 10, 2016
This paper proposes and evaluates a solution to the truck redistribution problem prominent in London's Santander Cycle scheme. Due to the complexity of this NP-hard combinatorial optimisation problem, no efficient optimisation techniques are known to...
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 ...
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