Multiple simulator interlinking environment for IVC

Lochert, Christian; Barthels, Andreas; Cervantes, Alfonso; Mauve, Martin; Caliskan, M.

doi:10.1145/1080754.1080771

Cited by 80 publications

(33 citation statements)

References 3 publications

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“…Solutions that couple a mobility simulator and a telecommunications network simulator can be found in [12], [33], [34], [35]. Differently from in previous work, we integrate QualNet [36], a communications network simulator specifically designed for wireless networks, and MobiDense [37], a mobility simulator we designed and implemented.…”

Section: The Evaluation Platformmentioning

confidence: 99%

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

Leontiadis

Marfia

Mack

et al. 2011

IEEE Trans. Intell. Transport. Syst.

156

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Abstract-Road congestion results in a huge waste of time and productivity for millions of people. A possible way to deal with this problem is to have transportation authorities distribute traffic information to drivers, which in turn can decide (or be aided by a navigator) to route around congested areas. Such traffic information can be gathered by relying on static sensors placed at specific road locations (e.g., induction loops, video cameras) or by having single vehicles report their location, speed and travel time. While the former approach has been widely exploited, the latter has seen birth only more recently, and, consequently, its potential is less understood. For this reason, in this paper we study a realistic test case that allows to evaluate the effectiveness of such a solution. As part of this process: a) we designed a system that allows vehicles to crowd-source traffic information in an Ad-Hoc manner, allowing them to dynamically reroute based on individually collected traffic information, b) we implemented a realistic network-mobility simulator that allowed us to evaluate such a model, and c) the main focus of this paper: we performed a case study that evaluates whether such a decentralized system can help drivers to minimize trip times. This study is based on traffic survey data from Portland, Oregon and our results indicate that such navigation systems can indeed greatly improve traffic flow. Finally, to test the feasibility of our approach we implemented our system and run some real experiments at UCLA's C-Vet test-bed.

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Section: The Evaluation Platformmentioning

confidence: 99%

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

Leontiadis

Marfia

Mack

et al. 2011

IEEE Trans. Intell. Transport. Syst.

156

View full text Add to dashboard Cite

show abstract

“…node #1) it will then be forwarded towards the next intersection node using again a greedy method. Protocols that use this kind of approach are CAR [13], GPCR [14] and GyTAR [15]. One optimization on this approach is made in GPSRJ+ [16] where the forwarding node can predict the road that the packet will follow and thus skip the intersection (e.g.…”

Section: B Position-based Routing In Vanetsmentioning

confidence: 99%

CLWPR — A novel cross-layer optimized position based routing protocol for VANETs

Κατσαρός

Dianati

Tafazolli

et al. 2011

2011 IEEE Vehicular Networking Conference (VNC)

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In this paper, we propose a novel position-based routing protocol designed to anticipate the characteristics of an urban VANET environment. The proposed algorithm utilizes the prediction of the node's position and navigation information to improve the efficiency of routing protocol in a vehicular network. In addition, we use the information about link layer quality in terms of SNIR and MAC frame error rate to further improve the efficiency of the proposed routing protocol. This in particular helps to decrease end-to-end delay. Finally, carry-n-forward mechanism is employed as a repair strategy in sparse networks. It is shown that use of this technique increases packet delivery ratio, but increases end-to-end delay as well and is not recommended for QoS constraint services. Our results suggest that compared with GPSR, our proposal demonstrates better performance in the urban environment.

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“…The Multiple Simulator Interlinking Environment for C2CC in VANETs [9] was developed at the University of Duesseldorf within the Network on Wheels (NoW) project 3 in cooperation with Volkswagen AG. It integrates the following simulators: ns-2 for network simulation, VISSIM 4 for traffic simulation, Matlab/Simulink 5 for application development and simulation, and Click!…”

Section: Related Workmentioning

confidence: 99%

“…to stop one or more cars, influence the driver behaviour, or to reroute cars. A disadvantage of [9] is that the whole simulation process is controlled by the network simulator. In the real world, applications initiate the necessary activities themselves.…”

Section: Related Workmentioning

confidence: 99%

Realistic Simulation of Vehicular Communication and Vehicle-2-X Applications

Schünemann¹,

Massow²,

Radusch³

2008

Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Syste

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In future intelligent transport systems, wireless vehicular communication will provide the basis for new applications to enhance safety, traffic efficiency, and provide infotainment services. In the near future, field tests are to be carried out to verify the improvements that could be achieved by these new Vehicle-2-X applications. However, the realisation of such field tests is very complex and expensive. Therefore, detailed simulations are necessary to prepare the tests in the real world and reduce their costs. Current simulation tools do not support all aspects necessary for Vehicle-2-X applications. In this paper, we present an integrated software simulation environment that fulfils the special requirements of Vehicle-2-X applications. Furthermore, we introduce our testbed architecture that allows simulating vehicular communication under real physical conditions.

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Multiple simulator interlinking environment for IVC

Cited by 80 publications

References 3 publications

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

CLWPR — A novel cross-layer optimized position based routing protocol for VANETs

Realistic Simulation of Vehicular Communication and Vehicle-2-X Applications

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Multiple simulator interlinking environment for IVC

Cited by 80 publications

References 3 publications

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

CLWPR &#x2014; A novel cross-layer optimized position based routing protocol for VANETs

Realistic Simulation of Vehicular Communication and Vehicle-2-X Applications

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CLWPR — A novel cross-layer optimized position based routing protocol for VANETs