Intelligent algorithms for incident detection and management in smart transportation systems
H Yijing, W Wei, Y He, W Qihong, X Kaiming - Computers and Electrical …, 2023 - Elsevier
Prior research on traffic event detection has encountered two problems: limited sample
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …
Keynote: Situational awareness platform for city transportation
H Yamaguchi - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Society5. 0, indicated in the 5th Science and Technology Basic Plan in Japan, is aimed at
bringing together technologies that information science has pursued, such as artificial …
bringing together technologies that information science has pursued, such as artificial …
Towards Semantic Travel Behavior Prediction for Private Car Users
The urban private car as convenient transportation plays an essential role in daily human
life, which accordingly produces massive trajectory data by built-in GPS tracking devices …
life, which accordingly produces massive trajectory data by built-in GPS tracking devices …
DeepCrash: A deep learning-based internet of vehicles system for head-on and single-vehicle accident detection with emergency notification
WJ Chang, LB Chen, KY Su - IEEE Access, 2019 - ieeexplore.ieee.org
Most individuals involved in traffic accidents receive assistance from drivers, passengers, or
other people. However, when a traffic accident occurs in a sparsely populated area or the …
other people. However, when a traffic accident occurs in a sparsely populated area or the …
Extracting Scenarios from Autonomous-Vehicle-Involved Crashes
The burgeoning interest in autonomous driving vehicles, notwithstanding their
transformative potential in the realm of transportation, engenders profound safety …
transformative potential in the realm of transportation, engenders profound safety …
Advanced learning technologies for intelligent transportation systems: Prospects and challenges
RA Khalil, Z Safelnasr, N Yemane… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …
environment characterized by complex spatial and temporal dynamics at various scales …
Social media analysis for traffic management
Given the data-and communication-intensive nature of developing transportation
management systems, utilizing social media data provides a new route for dynamic …
management systems, utilizing social media data provides a new route for dynamic …
Levering Big Data and Machine Learning to Detect and Evaluate the Impacts of Short-Term Traffic Disruptions in an Urban Transportation System
J Gao - 2020 - search.proquest.com
Growing challenges with traffic congestion in urban areas and the escalating impacts of
short-term traffic disruptions, such as double parking and temporary work zones, are gaining …
short-term traffic disruptions, such as double parking and temporary work zones, are gaining …
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
This report focuses on safety aspects of connected and automated vehicles (CAVs). The
fundamental question to be answered is how can CAVs improve road users' safety? Using …
fundamental question to be answered is how can CAVs improve road users' safety? Using …
Detecting traffic information from social media texts with deep learning approaches
Mining traffic-relevant information from social media data has become an emerging topic
due to the real-time and ubiquitous features of social media. In this paper, we focus on a …
due to the real-time and ubiquitous features of social media. In this paper, we focus on a …