A traffic data clustering framework based on fog computing for VANETs

MLM Peixoto, AHO Maia, E Mota, E Rangel… - Vehicular …, 2021 - Elsevier
Abstract Vehicular Ad-hoc Networks (VANETs) are based on vehicle to infrastructure
communications in which the vehicles periodically broadcast information to update a Road …

MARP: A Cooperative Multi-Agent DRL System for Connected Autonomous Vehicle Platooning

S Dai, S Li, H Tang, X Ning, F Fang, Y Fu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In modern urban areas, inefficiency traffic management is one of the main causes of road
congestion, leading to reduced fuel efficiency and increased traffic safety hazards …

Video-to-text pedestrian monitoring (vtpm): Leveraging computer vision and large language models for privacy-preserve pedestrian activity monitoring at intersections

AS Abdelrahman, M Abdel-Aty, D Wang - arXiv preprint arXiv:2408.11649, 2024 - arxiv.org
Computer vision has advanced research methodologies, enhancing system services across
various fields. It is a core component in traffic monitoring systems for improving road safety; …

Better safe than sorry: a vehicular traffic re-routing based on traffic conditions and public safety issues

AM de Souza, T Braun, LC Botega, R Cabral… - Journal of Internet …, 2019 - Springer
Vehicular traffic re-routing is the key to provide better traffic mobility. However, taking into
account just traffic-related information to recommend better routes for each vehicle is far from …

[HTML][HTML] Effective traffic routing for urban transportation capacity and safety enhancement

QT Minh, HN Le Hoang, MN Nhat - IATSS Research, 2022 - Elsevier
Traffic routing is an essential service in most intelligent transportation systems (ITS),
especially in urban traffic networks of large cities. However, this is a challenge issue as …

GNN-based passenger request prediction

AA Makhdomi, IA Gillani - Transportation Letters, 2024 - Taylor & Francis
Passenger request prediction is essential for operations planning, control, and management
in ride-hailing platforms. While the demand prediction problem has been studied …

[HTML][HTML] Analysing Urban Traffic Patterns with Neural Networks and COVID-19 Response Data

L Svabova, K Culik, K Hrudkay, M Durica - Applied Sciences, 2024 - mdpi.com
Accurate traffic prediction is crucial for urban planning, especially in rapidly growing cities.
Traditional models often struggle to account for sudden traffic pattern changes, such as …

Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques

AA Makhdomi, IA Gillani - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
In recent years, ride-hailing services have emerged as a popular means of transportation for
the residents of urban areas. There is an inequality in the spatio-temporal distribution of …

Safe and sound: Driver safety-aware vehicle re-routing based on spatiotemporal information

AM de Souza, T Braun, LC Botega… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicular traffic re-routing is key to provide better vehicular mobility. However, considering
just traffic-related information to recommend better routes for each vehicle is far from …

A Hierarchical Control Scheme for Adaptive Cruise Control System Based on Model Predictive Control

H Mu, L Li, M Mei, Y Zhao - Actuators, 2023 - mdpi.com
An adaptive cruise control (ACC) system can improve safety and comfort during driving by
taking over longitudinal control of the vehicle. It requires the coordination between the upper …