Traffic Flow Density Model and Dynamic Traffic Congestion Model Simulation Based on Practice Case with Vehicle Network and System Traffic Intelligent Communication

Abstract

The massive increase in the number of vehicles has set a precedent in terms of congestion, being one of the important factors affecting the flow of traffic, but there are also effects on the world economy. The studies carried out so far try to highlight solutions that will streamline the traffic, as society revolves around transportation and its symmetry. Current research highlights that the increased density of vehicles could be remedied by dedicated short-range communications (DSRC) systems through communications of the type vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) or vehicle-to-everything (V2X). We can say that wireless communication technologies have the potential to significantly change the efficiency and road safety, thus improving the efficiency of transport systems. An important factor is to comply with the requirements imposed on the use of vehicle safety and transport applications. Therefore, this paper focuses on several simulations on the basis of symmetry models, implemented in practical cases in order to streamline vehicle density and reduce traffic congestion. The scenarios aim at both the communication of the vehicles with each other and their prioritization by the infrastructure, so we can have a report on the efficiency of the proposed models.

Inter-Urban Analysis of Pedestrian and Drivers through a Vehicular Network Based on Hybrid Communications Embedded in a Portable Car System and Advanced Image Processing Technologies

“…This problem is caused by the hardware component. The elements that created problems can be remedied both by adjusting the hardware components and by adding optical filters to reduce FOV (Field of View) and extracting parasitic light, but also by adding new video cameras both in the front of the car and in the side mirrors for a wide spectrum of observation [69]. All these elements make significant adjustments in increasing quality and accuracy, with more sources and more comparison areas.…”

Evaluation of Misalignment Effect in Vehicle-to-Vehicle Visible Light Communications: Experimental Demonstration of a 75 Meters Link

“…One can see that the use of VLC in vehicular applications can bring some benefits, making this technology a suitable candidate in providing inter-vehicle connectivity in autonomous vehicle applications [ 54 , 55 , 56 ]. However, due to the mandatory LoS conditions imposed by the intrinsic features of this technology, the reliability of the link connection is hard to be maintained, as there are many variables that influence it in V2V applications.…”

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

“…Though many of the factors that cause such flaws and potential areas of improvement are well known, methods that outline how solutions can be implemented may not be as clear. Some examples of well studied problems in CAV technology are ensuring the abilities to both maintain and secure certain data, like physical and geographic location of vehicles [27][28][29][30], allow sufficient operation space for vehicles and control traffic flow [31][32][33][34], allowing and securing communication between vehicles and each other as well as other network-connected devices [35][36][37][38][39], providing collision warning and evasion techniques [40][41][42][43][44], providing security against attacks from malicious entities and faulty software or hardware [45][46][47][48][49], and offering safe and reliable availability of updates when needed [50]. The possibilities that are opened by CAV technology are too vast to be ignored, with broad applications to various fields to improve operation and user convenience.…”