Journal Volume: 23
Journal Issue: 4
Journal Year: 2022
Articles in SafetyLit: 28

A deep learning approach to detect real-time vehicle maneuvers based on smartphone sensors

A simulation study on effects of platooning gaps on drivers of conventional vehicles in highway merging situations

Acoustic cues increase situational awareness in accident situations: a VR car-driving study

Acting as a decision maker: traffic-condition-aware ensemble learning for traffic flow prediction

Active collision avoidance strategy considering motion uncertainty of the pedestrian

An optimal dynamic lane reversal and traffic control strategy for autonomous vehicles

ASAYAR: a dataset for Arabic-Latin scene text localization in highway traffic panels

Automated annotation of lane markings using LiDAR and odometry

Comparative safety assessment of automated driving strategies at highway merges in mixed traffic

Cooperative decision making of connected automated vehicles at multi-lane merging zone: a coalitional game approach

Crash risk estimation due to lane changing: a data-driven approach using naturalistic data

Detection of collision-prone vehicle behavior at intersections using Siamese interaction LSTM

Displaying the driving state of automated vehicles to other road users: an international, virtual reality-based study as a first step for the harmonized regulations of novel signaling devices

Energetic impacts evaluation of eco-driving on mixed traffic with driver behavioral diversity

Geographical information enhanced recognition of traffic modes and behavior patterns

HazDesNet: an end-to-end network for haze density prediction

Intersection and stop bar position extraction from vehicle positioning data

Lane-level traffic speed forecasting: a novel mixed deep learning model

Location-based schemes for mitigating cyber threats on connected and automated vehicles: a survey and design framework

Near-infrared imaging photoplethysmography during driving

Nighttime road scene parsing by unsupervised domain adaptation

Optimization of two-phase sampling designs with application to naturalistic driving studies

Optimized calculation of the economic speed profile for slope driving: based on iterative dynamic programming

Probabilistic pedestrian models for estimating unobserved road populations

Robust data-driven framework for driver behavior profiling using supervised machine learning

Safe route mapping of roadways using multiple sourced data

SWNet: a deep learning based approach for splashed water detection on road

The effectiveness of alert sounds for electric vehicles based on pedestrians' perception