The 5G Network Solution for Intelligent Traffic : Literature Review and Simulation
Le, Ngoc Minh Dat (2019)
Le, Ngoc Minh Dat
Åbo Akademi
2019
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019093030653
https://urn.fi/URN:NBN:fi-fe2019093030653
Tiivistelmä
As the successor to 4G and LTE networks, 5G is expected to offer more benefits to both business and society. The core characteristics of 5G network includes, but are not limited to, high bandwidth, data rate, network density, and low latency. 5G network is especially useful for activities or operations which require data transmission on a real-time basis. An intelligent traffic system can be beneficial when combined with services utilizing 5G network. The interactions among vehicles and between vehicles and traffic are key components to enhance a traffic light control system. With the help of low latency and high data rates, each vehicle can transfer its information, such as type of the vehicle, speed, destination, position, etc. to the traffic light control system. By obtaining and analyzing this information from all vehicles, the traffic light can be flexible in changing signal phases to create smoother traffic flow and decrease waiting time of vehicles. This study presents the development of cellular networks as well as the features and limitations of 5G network. It also provides a systematic review of several algorithms used in intelligent traffic systems from three perspectives: isolated traffic light, road network, and eco-driving. Two small traffic scenarios are simulated to obtain different traffic measurements such as waiting time, time loss, speed, and CO2 emission. Finally, this study evaluates and discusses the efficiency of the traffic light system when it can obtain more information as well as the future direction of intelligent traffic research.