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Analysis of E-scooter Risk Factors by Road Types on Different Speed Levels
The safety of electric scooters (e-scooters) are issued frequently. Because of the structure of the e-scooter, it is highly affected by the road...
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Weather impacts on various types of road crashes: a quantitative analysis using generalized additive models
Adverse weather conditions can have different effects on different types of road crashes. We quantify the combined effects of traffic volume and...
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MFCC Delta–Delta Energy Feature Extraction for Clustering of Road Surface Types
Identification of road surfaces can help drivers controlling the speed of their vehicles and avoid accidents. Smartphones sensors are widely used to...
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Road intersection detection using the YOLO model based on traffic signs and road signs
A road intersection is an area where more than two roads in different directions connect. It is a point of transition where the driver navigates and...
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Tire–road contact modelling for multibody simulations with regularised road and enhanced UA tire models
Multibody simulations play an important role in the study of the dynamic behaviour of road vehicles, being one of the key aspects the modelling of...
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Investigating Driver Preferences for Traffic Information Using Digital Signage and Road Surface Holograms
This study investigates road users’ information preferences to enhance traffic information provision strategies. Traditional road signs primarily...
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Modeling hourly weather-related road traffic variations for different vehicle types in Germany
Weather has a substantial influence on people’s travel behavior. In this study we analyze if meteorological variables can improve predictions of...
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Validation of Road Traffic Noise Prediction Model (Stop and Go) for Road Traffic Conditions of Delhi, India
Noise exposure has been linked with numerous harmful health outcomes. The traffic volume is increasing rapidly in India. For environmentalists and...
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Data-driven model predictive control using road-based disturbance estimations in longitudinal driving of e-bike
In this study, the electric bike is investigated under the data-driven model predictive control (MPC) model approach to develop road disturbance...
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Direct energy rebound effect for road transportation in China
The enhancement of energy efficiency stands as the principal avenue for attaining energy conservation and emissions reduction objectives within the...
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Seismic Performance Management of Aged Road Facilities in Korea: Part 1 — Fragility Curves
This study aimed to develop a decision-making support system for managing the seismic performance of aged road facilities in a road network, based on...
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Assessment of Mechanical Characteristics of Crushed Rock Substituted with Tyre Crumb for the Application of Road Base or Subbase Layers of Road Pavement
The demand for sustainable construction materials for roads has been on the rise. Meanwhile, the disposal of non-biodegradable wastes in develo**...
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Projecting traffic flows for road-based passenger transport in Europe for the analysis of climate impact
Road-based transport is a significant contributor to global transport emissions of greenhouse gases and local pollutants, thus contributing to the...
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Participatory Sensing Based Urban Road Condition Classification using Transfer Learning
Road surfaces can contain a lot of anomalies such as potholes. Understanding and detecting such irregularities are a key towards building a safe road...
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Road Signage and Road Obstacle Detection Using Deep Learning Method
This study presents a deep learning approach for road signage and road obstacle detection. The purpose of this research was to train a robust and... -
Value of travel time by road type
Travel time is less costly if it is comfortable or can be used productively. One could hence argue that the value of travel time (VTT) of car...
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Deep-learning-based road crack detection frameworks for dashcam-captured images under different illumination conditions
Machine learning techniques have been used to increase detection accuracy of cracks in road surfaces. However, most studies failed to consider...
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Prioritization of Egyptian Road Maintenance Using Analytic Hierarchy Process
Maintenance procedures are often used to slow the rate of road pavement deterioration. Develo** an effective pavement maintenance plan for the road...
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Contributing Factors of Road Traffic Accidents: Exploration Through Data Visualization
Road Traffic Accidents (RTAs) constitute a significant public health conundrum due to their capricious nature. In the year 2022, India was the...
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OffRoadSynth Open Dataset for Semantic Segmentation using Synthetic-Data-Based Weight Initialization for Autonomous UGV in Off-Road Environments
This article concerns the issue of image semantic segmentation for the machine vision system of an autonomous Unmanned Ground Vehicle (UGV) moving in...