Parallel Processing Concept Based Vehicular Bridge Traffic Problem
01 Jan 2014-Vol. 28, pp 1-9
TL;DR: Vehicular travel which demands on the concurrent operations and parallel activities is used to control bridge traffic based on Cellular Automata technique to solve a bridge traffic control problem.
Abstract: A Cellular Automata (CA) is a computing model of complex System using simple rules. In this paper the problem space is divided into number of cells and each cell can be constituted of one or several final state. Cells are affected by neighbors with the application of simple rule. Cellular Automata are highly parallel and discrete dynamical systems, whose behavior is completely specified in terms of local relation. In this paper CA is applied to solve a bridge traffic control problem. Vehicular travel which demands on the concurrent operations and parallel activities is used to control bridge traffic based on Cellular Automata technique.
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TL;DR: This paper has proposed an appropriate routing protocol for VANETs based on the dynamic network connectivity behavior of urban traffic at road crossings or Intersection, and likened the performance of the proposed scheme with the competitive schemes.
Abstract: The Road traffic modeling in Vehicular Ad Hoc Networks (VANETs) may require disseminating information to specific geographical areas like Road Intersection. The communications, network connectivity and routing are the central issues in VANETs. The Vehicular Ad Hoc Network (VANETs) have high mobility and high density of mobile nodes. Managing this mobility is very important to ensure routing efficiency and network connectivity in VANETs. VANETs are characterized by topology changes and link disconnections. The research challenges for applications of VANETs remains to design of intelligent algorithms for dynamic network connectivity and efficient routing problem in VANETs becomes a challenging event because of the active nature of mobile clients. In this paper, we have proposed an appropriate routing protocol for VANETs based on the dynamic network connectivity behavior of urban traffic at road crossings or Intersection. The dynamic network connectivity model for VANETs is based on parallel processing concept are essential for designing an efficient routing protocol for VANETs at Road Intersection in urban scenarios. Our simulation result showed that different control mechanisms are applied at road crossings and we likened the performance of our proposed scheme with the competitive schemes (Modeling Urban Traffic (MUT) Scheme, Dynamic Connectivity Scheme (DCS), Cellular Automaton Model for Car Traffic (CAMCT) and Dynamic Connectivity-Aware Routing for Internet-based Services (D-CAR)) in terms of Inter-vehicle spacing, number of vehicles in one road block and distance from road crossings or Intersection against varying node density.
13 citations
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TL;DR: A unified framework and new metrics that combines integrated modelling, system integration and optimization, official certification and validation, and automatic synthesis approaches for analysing the security and safety of ITS and booming out design space investigation of both in-vehicle electronic control systems and vehicle-to-Vehicle communications are recommended.
Abstract: There is a serious mismatch between the growing traffic volume and the availability of resources to support the traffic. Some of the important reasons for this mismatch are the rapid development of our economy, increased affordability of our society, multiple vehicles per family, and so on. We believe that the mismatch will continue to grow and adversely affect our traffic infrastructure unless efficient traffic management solutions that include system integration, design, prediction, safety verification, validation, and security are developed and deployed. Security has appeared as an important issue for Intelligent Transportation Systems (ITS). Some security threats become more challenging task with the emergence of Vehicle-to-Vehicle (V2V) communication and Vehicle-to-Roadside (V2R) communication in vehicular networks. Addressing the security issues in smart vehicular communication systems requires new effective and efficient algorithm that encompass considerations of new security techniques, safety things, communication related resource limitations, and other related new performance metrics. In this paper, we recommend a unified framework and new metrics that combines integrated modelling, system integration and optimization, official certification and validation, and automatic synthesis approaches for analysing the security and safety of ITS and booming out design space investigation of both in-vehicle electronic control systems and vehicle-to-vehicle communications. This integrated framework will facilitated the system integration and optimization and enable validation of various design the new metrics for vehicular networks such as timing, direction, reliability, speed, security and performance.
1 citations
References
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TL;DR: A stochastic discrete automaton model is introduced to simulate freeway traffic and shows a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic.
Abstract: We introduce a stochastic discrete automaton model to simulate freeway traffic. Monte-Carlo simulations of the model show a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic. For special cases analytical results can be obtained.
3,416 citations
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TL;DR: An elaborate and understandable review of traffic cellular automata (TCA) models, which are a class of computationally efficient microscopic traffic flow models, by means of time–space and phase-space diagrams, and histograms showing the distributions of vehicles’ speeds, space, and time gaps.
Abstract: In this paper, we give an elaborate and understandable review of traffic cellular automata (TCA) models, which are a class of computationally efficient microscopic traffic flow models. TCA models arise from the physics discipline of statistical mechanics, having the goal of reproducing the correct macroscopic behaviour based on a minimal description of microscopic interactions. After giving an overview of cellular automata (CA) models, their background and physical setup, we introduce the mathematical notations, show how to perform measurements on a TCA model's lattice of cells, as well as how to convert these quantities into real-world units and vice versa. The majority of this paper then relays an extensive account of the behavioural aspects of several TCA models encountered in literature. Already, several reviews of TCA models exist, but none of them consider all the models exclusively from the behavioural point of view. In this respect, our overview fills this void, as it focusses on the behaviour of the TCA models, by means of time–space and phase-space diagrams, and histograms showing the distributions of vehicles’ speeds, space, and time gaps. In the report, we subsequently give a concise overview of TCA models that are employed in a multi-lane setting, and some of the TCA models used to describe city traffic as a two-dimensional grid of cells, or as a road network with explicitly modelled intersections. The final part of the paper illustrates some of the more common analytical approximations to single-cell TCA models.
517 citations
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489 citations
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TL;DR: A simple two-lane cellular automaton based upon the single-lane CA introduced by Nagel and Schreckenberg is examined, pointing out important parameters defining the shape of the fundamental diagram and investigating the importance of stochastic elements with respect to real life traffic.
Abstract: We examine a simple two-lane cellular automaton based upon the single-lane CA introduced by Nagel and Schreckenberg. We point out important parameters defining the shape of the fundamental diagram. Moreover we investigate the importance of stochastic elements with respect to real life traffic.
412 citations
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