Fusion of engineering insights and emerging trends: Intelligent urban traffic management system

AA Ouallane, A Bakali, A Bahnasse, S Broumi… - Information Fusion, 2022 - Elsevier
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

A survey on the current security landscape of intelligent transportation systems

A Lamssaggad, N Benamar, AS Hafid, M Msahli - IEEE Access, 2021 - ieeexplore.ieee.org
With the proliferation of embedded technologies and wireless capabilities, today's vehicles
are no longer isolated mechanical machines. They become part of a hyper-connected …

Pedestrian support in intelligent transportation systems: challenges, solutions and open issues

S El Hamdani, N Benamar, M Younis - Transportation research part C …, 2020 - Elsevier
The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …

A multistudy investigation of drivers and passengers' gesture and voice input preferences for in-vehicle interactions

LB Bilius, RD Vatavu - Journal of Intelligent Transportation …, 2020 - Taylor & Francis
We conduct an examination of the preferences of drivers and passengers alike for in-vehicle
interactions with a multistudy approach consisting of (1) a targeted literature survey of …

Smart Crosswalk Management with Vehicle-to-Pedestrian Communication

S Srinivasan, R Raman, CB Thacker… - 2023 International …, 2023 - ieeexplore.ieee.org
Crosswalk accidents involving pedestrians remain a major problem in highly populated
places. It provides a unique solution to this problem by connecting vehicles with pedestrians …

A reinforcement learning based autonomous vehicle control in diverse daytime and weather scenarios

B Ben Elallid, M Bagaa, N Benamar… - Journal of Intelligent …, 2024 - Taylor & Francis
Autonomous driving holds significant promise for substantially reducing road fatalities.
Unlike traditional machine learning methods that have conventionally been applied to …

Platoon control and external human–machine interfaces: innovations in pedestrian–autonomous vehicle interactions

X Chen, C Dong, W Yang, Y Hou… - … A: Transport Science, 2024 - Taylor & Francis
At uncontrolled mid-block crosswalks, autonomous vehicles (AVs) are legally and safely
obligated to yield to pedestrians, potentially exacerbating traffic congestion. This study …

Deep learning-based modeling of pedestrian perception and decision-making in refuge island for autonomous driving

BB Elallid, SE Hamdani, N Benamar… - … Intelligence in Recent …, 2022 - Springer
Pedestrian is the main Vulnerable Road User (VRU) that needs further support when
designing enhanced Intelligent Transportation Systems (ITSs). The pedestrian's perception …

Pedestrian shuttle service optimization for autonomous intersection management

H Jiang, Z Yao, Y Zhang, Y Jiang, Z He - Transportation Research Part C …, 2024 - Elsevier
Autonomous intersection management (AIM) has been widely investigated over the past two
decades as a solution for signal-free intersections in a fully connected and autonomous …

Optimizing Traffic Flow With Reinforcement Learning: A Study on Traffic Light Management

A Merbah, J Ben-Othman - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
The non-adaptive management of traffic lights has proven inefficient for a number of
drawbacks. They mainly impinge on CO2 emissions, fuel consumption, traffic waiting time …