Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities
One of the main challenges in urban development faced by large cities is related to traffic
jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater …
jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater …
A vehicular network based intelligent transport system for smart cities using machine learning algorithms
Smart cities and the Internet of Things have enabled the integration of communicating
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …
Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks
Traffic jams are an essential and continuous challenge in our cities, responsible for
socioeconomic and environmental concerns and an ambitious traffic jams management …
socioeconomic and environmental concerns and an ambitious traffic jams management …
[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …
been the top concern in smart city development. Short delays in communication between …
Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments
Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to
streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety …
streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety …
DIFTOS: A distributed infrastructure-free traffic optimization system based on vehicular ad hoc networks for urban environments
Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization
systems have been proposed recently. However, most of them suffer from three main …
systems have been proposed recently. However, most of them suffer from three main …
Fuzzy priority based intelligent traffic congestion control and emergency vehicle management using congestion-aware routing algorithm
The rapid increase in vehicle population has led to an increase in road congestion, pollution
and accidents. We propose a framework that optimizes collection, classification, scheduling …
and accidents. We propose a framework that optimizes collection, classification, scheduling …
[PDF][PDF] Internet of things enabled vehicular and ad hoc networks for smart city traffic monitoring and controlling: a review
----------------------------------------------------------------------ABSTRACT----------------------------------------
-------------------Traffic Congestion is becoming a huge issue in the cities of both developing …
-------------------Traffic Congestion is becoming a huge issue in the cities of both developing …
Intelligent traffic management system for smart cities
In present-day times, the number of vehicles has increased drastically, but in contrast, the
capabilities of our roads and transportation systems still remain underdeveloped and as a …
capabilities of our roads and transportation systems still remain underdeveloped and as a …
Intelligent traffic management: A review of challenges, solutions, and future perspectives
R Ravish, SR Swamy - Transport and Telecommunication Journal, 2021 - sciendo.com
Congestion of traffic is a key problem faced in a majority of metro cities, especially in the
developing world. Traffic congestion comprises of queues, reduced speeds, and increased …
developing world. Traffic congestion comprises of queues, reduced speeds, and increased …