Lu, Q., Tettamanti, T., Hörcher, D., Varga, I. and Q. Lu, (2020) The Impact of Autonomous Vehicles on Urban Traffic Network Capacity: An Experimental Analysis by Microscopic Traffic Simulation Experimental Analysis by Microscopic Traffic Simulation. Transportation Letters, 12, 540-549.
https://doi.org/10.1080/19427867.2019.1662561

has been cited by the following article:

• TITLE: Excavation of the Internet of Things in Urban Areas Based on an Intelligent Transportation Management System

  AUTHORS: Febronie Nambajemariya, Yongshun Wang

  KEYWORDS: Internet of Things (IoT), Intelligent Traffic, Traffic Congestion, Traffic Management

  JOURNAL NAME: Advances in Internet of Things, Vol.11 No.3, July 7, 2021

  ABSTRACT: Transportation, as one of the most common aspects people use in their daily lives, has resulted in highly complex traffic in urban areas due to the large number of private vehicles. As some results of the traffic congestion, there is energy consumption, environmental pollution, unplanned accidents, and time is wasted due to congestion and traffic jams. With the aid of the Internet of Things (IoT), which is an excellent computerized technology solution for all field claims, Internet of Things (IoT) technology has recently provided an efficient and effective traffic management system, especially in transportation, due to the combined functions IoT can handle, there are management, monitoring, tracking, identifying, computing, and so on. This article provided a comprehensive overview of a variety of intelligent management systems that have been built using IoT to alleviate traffic congestion.