Vehicular communication systems

About: Vehicular communication systems is a research topic. Over the lifetime, 2532 publications have been published within this topic receiving 64775 citations. The topic is also known as: V2V & vehicle-to-vehicle.

Autonomous vehicle transit system

Abstract: A transit system in an environment is provided that includes vehicles and communication nodes. The communication nodes contain information that is updated or re-written and sent to one or more vehicles. The information stored in the communication nodes provides data regarding the environment, communication node positions, vehicle communique, and vehicle control. The vehicles and the communication nodes communicate with each other. A vehicle by receiving the information from the communication nodes is able to move in the environment without complex sensors, to adapt to changes in the environment, to perform specific actions, and to communicate to other vehicles. Also, a vehicle by updating the information in the communication nodes is able to update out-dated information and to affect the actions and movements of other vehicles.

Stochastic Characterization of Information Propagation Process in Vehicular Ad hoc Networks

Abstract: This paper studies the information propagation process in wireless communication networks formed by vehicles traveling on a highway. Corresponding to different lanes of the highway and different types of vehicles, we consider that vehicles in the network can be categorized into a number of traffic streams, where the vehicles in the same traffic stream have the same speed distribution while the speed distributions of vehicles in different traffic streams are different. We analyze the information propagation process of the aforementioned vehicular network and obtain an analytical formula for the information propagation speed (IPS). Using the formula, one can straightforwardly study the impact of parameters such as radio range, vehicular traffic density, vehicular speed distribution, and the time variation of vehicular speed on the IPS. The accuracy of the analytical results is validated using simulations.

Enabling vehicular safety applications over LTE networks

Abstract: Advanced Driving Assistance Systems (ADAS) for improving vehicular safety are increasingly network based, with approaches that use vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication. Most current proposals for V2V and V2I use DSRC and a dedicated infrastructure of road side units (RSUs) for the V2I scenarios. Here, the technical feasibility of an alternative architecture is explored, one that uses a combination of LTE cellular networks and servers near the edge of the LTE network. Compared with approaches based on DSRC and RSUs, this architecture exploits an infrastructure that is already largely deployed, but requires that technical challenges related to latency and scalability be addressed. This paper outlines an architecture that addresses these challenges and shows experimental results that demonstrate its effectiveness for vehicular safety applications. The approach combines resources near the network edge with broadcast-based data distribution to provide data freshness guarantees comparable to what can be achieved with DSRC for many applications. Experiments from the deployed LTE network and NS-3 simulations demonstrate that this approach is feasible, and show the benefits and limitations of the architecture.

Cooperative Intelligence of Vehicles for Intelligent Transportation Systems (ITS)

Abstract: The aim of Intelligent Transportation Systems (ITS) is to automate the interactions among vehicles and infrastructure to accomplish high levels of safety measures, comfort, and competence in vehicular communication. To utilize the future trends of increasing traffic safety and efficiency in ITS, integrating vehicles and infrastructures with the cooperative vehicular technique will be the feasible solution. In order to demonstrate the importance of cooperative communication in vehicular networks, a spectral efficient architecture has been proposed for cooperative centralized and distributed spectrum sensing in vehicular networks. We discuss the possibilities of Cognitive Radio in the cooperative vehicular environment. In order to exhibit cooperative vehicular networks, hardware modules are designed for a vehicle to vehicle, vehicle to infrastructure and infrastructure to infrastructure communications. Furthermore, quantitative analysis is made in order to calculate the energy optimization, connectivity failure probability and traffic management in cooperative vehicular networks. In addition, we test the results of the cooperative vehicular network by simulating it in NS2. In this respect, we have considered three different cases, Emergency vehicles, VIP vehicles, and normal vehicles. It is inferred from the results that end-to-end delay for emergency vehicles in the cooperative environment is considerably less as compared to VIP and normal vehicles.

Vehicle-to-vehicle communication device and method of controlling the same

Abstract: A vehicle-to-vehicle communication device installed on a subject vehicle includes a detection function, a transmission function, a report function and a signal-processing function to display position information of surrounding vehicles as well as the subject vehicle. In a process of displaying the position information of the vehicles, the device communicates with the devices installed on other vehicles within a reach of the communication function to reflect the position information of the surrounding vehicles including vehicles not equipped with the device.