Abstract-Vehicular networking is an enabling technology for Intelligent Transportation Systems (ITS). Different types of vehicular traffic applications are currently being investigated. In this paper we briefly introduce the communication requirements of a Co-operative Adaptive Cruise Control (C-ACC) vehicular traffic efficiency application. Furthermore, we propose a Channel Busy Time model to evaluate the solution space of a vehicular beaconing system designed to communicate information both vital and sufficient for vehicular traffic applications and in particular for C-ACC. We identify that the solution space is three-dimensional. These dimensions being based on the number of nodes (or vehicles), the beacon generation rate of the nodes and the size (or duration) of a beacon message.Based on the Channel Busy Time model we derive boundaries and ranges of parameters within which the beaconing system can be adapted to meet the requirements of the C-ACC application.
Abstract-Recent development in wireless technology enables communication between vehicles. The concept of Co-operative Adaptive Cruise Control (CACC) -which uses wireless communication between vehicles -aims at string stable behaviour in a platoon of vehicles. "String stability" means any non-zero position, speed, and acceleration errors of an individual vehicle in a string do not amplify when they propagate upstream. In this paper, we will discuss the string stability of CACC and evaluate its performance with various packet loss ratios, beacon sending frequencies and time headway in simulations. The simulation framework is built up with a controller prototype, a traffic simulator, and a network simulator.
Recent development in wireless technology enables communication between vehicles. The concept of cooperative adaptive cruise control (CACC)-which uses wireless communication between vehicles-aims at string stable behavior in a platoon of vehicles. "String stability" means any non-zero position, speed, and acceleration errors of an individual vehicle in a string do not amplify when they propagate upstream. In this article, we will discuss the string stability of CACC and evaluate its performance under varying packet loss ratios, beacon sending frequencies, and time headway settings in simulation experiments. The simulation framework is built up with a controller prototype, a traffic simulator, and a network simulator.
In this paper we introduce a new geocasting concept to target vehicles based on where they will be in the direct future, in stead of their current position. We refer to this concept as constrained geocast. This may be useful in situations where vehicles have interdependencies based on (future) maneuvers. We have developed a first version of such a protocol in the context of an automated merging application, and tested it using simulations. Results show that the protocol is able to meet the requirements of such applications. Compared to a common geo-broadcast protocol this protocol becomes more reliable as road traffic densities increase, but in other aspects the performance is so far lacking. Based on our experiences with implementing the protocol however we see plenty of room for further improvement. Index Terms-Cooperative Adaptive Cruise Control (CACC), geocast, V2V, VANET1 In this paper a node is defined as a network-entity, so any communicationcapable vehicle is also a node.
Cooperative adaptive cruise control (CACC) is a form of cruise control in which vehicles cooperatively control their speed using wireless communication. Previously we have implemented CACC using beaconing: the regular broadcasting of status information using 802.11p. Currently we are concerned with extending both our beaconing mechanism and our CACC system to support automatic CACC merging. In this paper we focus on extending the beaconing mechanism to disseminate the required merging. We propose three beacon-based dissemination protocols and evaluate how well they are able to support automatic CACC merging. All protocols piggyback merging information on the CACC beacons, without changing the timing of the beacons. Our main goal is to identify which protocol can disseminate merging information during a CACC merging manoeuvre most efficiently. We show that all three protocols have low loss rates but that the impact on the network load differs per protocol.
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