Fusion of engineering insights and emerging trends: Intelligent urban traffic management system
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 …
on roads continues to intensify significantly against the slow development of road …
A survey on the current security landscape of intelligent transportation systems
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 …
are no longer isolated mechanical machines. They become part of a hyper-connected …
Pedestrian support in intelligent transportation systems: challenges, solutions and open issues
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 …
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
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 …
interactions with a multistudy approach consisting of (1) a targeted literature survey of …
Smart Crosswalk Management with Vehicle-to-Pedestrian Communication
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 …
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
Autonomous driving holds significant promise for substantially reducing road fatalities.
Unlike traditional machine learning methods that have conventionally been applied to …
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 …
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
Pedestrian is the main Vulnerable Road User (VRU) that needs further support when
designing enhanced Intelligent Transportation Systems (ITSs). The pedestrian's perception …
designing enhanced Intelligent Transportation Systems (ITSs). The pedestrian's perception …
Pedestrian shuttle service optimization for autonomous intersection management
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 …
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 …
drawbacks. They mainly impinge on CO2 emissions, fuel consumption, traffic waiting time …