Off-road vehicle use is arguably one of the most environmentally damaging human activities undertaken on sandy beaches worldwide. Existing studies focused on areas of high traffic volumes have demonstrated significantly lower abundance, diversity and species richness of fauna in zones where traffic is concentrated. The impact of lower traffic volumes is unknown. This study aimed to investigate ...

Wireless Sensor Networks can help to mitigate the problem of congestion in cities. Congestion occurs, when the road infrastructure cannot cope with the increased demand for the particular road segment. This paper presents a congestion control system, which uses sensors installed on the road side units to monitor the data and the cars also having the capacity to collect data from the road infras...

Computer traffic simulation is important for making new traffic-control strategies. Microscopic traffic simulators can model traffic flow in a realistic manner and are ideal for agent-based vehicle control. In this paper we describe a model of a reactive agent that is used to control a simulated vehicle. The agent is capable of tactical-level driving and has different driving styles. To ensure ...

We propose a pheromone-based traffic management model, which simultaneously optimizes vehicle re-routing and traffic light control. Specifically, each car agent deposits multiple digital pheromone on its route. The road infrastructure agents fuse the pheromone to forecast traffic conditions. Once a congested road is predicted, we adopt a proactive vehicle re-routing algorithm for assigning alte...

Traffic surveillance and investigation is important to increase the safety on roads. Vehicle detection and tracking in road surveillance is classical task in computer vision and critical component in modern traffic monitoring system. Intelligent transport system (ITS) brings advanced computing, sensing and telecommunication technologies to transport related problems. Many traffic surveillance s...

conclusions the findings of the current study will be beneficial in prevention of rtcs and its associated complications and hence will be vital for policy makers, health service managers and stakeholders. context despite considerable attention given to health statistics of road traffic crashes (rtcs), the epidemiological aspects of injuries resulting from rtcs are not fully understood in iran a...

Introduction Recently, Intelligent Transportation Systems (ITS), which among others make use of advanced sensor systems for on-line surveillance to gather detailed information on traffic conditions, have been identified as the new paradigm to address the growing mobility problems. With the exponential growth in computational capability and information technology, traffic monitoring and large-sc...

This paper proposes a spatiotemporal deep learning framework, Trajectory-based Graph Neural Network (TrGNN), that mines the underlying causality of flows from historical vehicle trajectories and incorporates into road traffic prediction. The trajectory transition patterns are studied to explicitly model spatial demand via graph propagation along network; an attention mechanism is designed learn...

Background and aims: This study aimed to evaluate the effect of enforcement of new traffic laws on the fatal and non- fatal injury rates in Iran. Methods: In a longitudinal, interventional controlled trial study, all subjects with history of fatal and non-fatal injuries were studied. Their injuries were caused by six risky violations (unauthorized speed, illegal overtaking, red traffic light c...