Performance Evaluation of V2X Communications and Services in Cellular Network with a Realistic Simulation Environment

Author(s):  
Muhammed Nur Avcil ◽  
Mujdat Soyturk
2021 ◽  
Author(s):  
Taghi Shahgholi ◽  
Amir Sheikhahmadi ◽  
Keyhan Khamforoosh ◽  
Sadoon Azizi

Abstract Increased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility (SUMO) has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end to end delay per user. Simulation of Urban MObility (SUMO) has been used for realistic traffic generation and a Python-based program has been developed. This program has the ability to exchange live data with SUMO for communication performance evaluation. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.


2014 ◽  
Vol 496-500 ◽  
pp. 2142-2145 ◽  
Author(s):  
Ji Wen Hu ◽  
Chao Feng ◽  
Yi Liu ◽  
Ri Yi Zhu

The development of realistic simulation environments is an expensive and time-consuming enterprise. Game Engine is the core component of modern computer games and it provides fundamental functions for games. In this paper, in order to save time and money, game engine is used as platform to develop simulation environment for agents. An Unreal Tournament-Based Simulation Environment (UTSE) for agent simulation is proposed. The reasons for selecting Unreal Engine as the start point of developing our simulation environment are presented. The implementation details of UTSE are also expatiated. And finally, a simple case is given to demonstrate the effectiveness of UTSE to rapidly produce game engine-based high fidelity simulations.


2014 ◽  
Vol 651-653 ◽  
pp. 710-715 ◽  
Author(s):  
Guan Jun Meng ◽  
Zu Tao Zhang ◽  
Hong Xu

This paper presents a novel Omni-directional obstacle crossing robot with a combination of passive and active obstacle crossing mode which uses binocular cameras to detect obstacles. The Omni-directional movements can enhance the ability of the robot working in small space and improve the efficiency of steering. The combination of passive and active mode can not only guarantee the adaptability to complex terrain but also enhance the obstacle-crossing ability of the robot. This system was tested in simulation environment, and the last performance evaluation demonstrates the validity of the proposed obstacle crossing robot.


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