A complete simulator architecture for inter-vehicle communication based intersection warning systems

Avila, A.; Korkmaz, Gökhan; Liu, Youjian; Teh, H.; Ekici, Eylem; Özgüner, F.; Özgüner, Ü.; Redmill, Keith; Takeshita, O.Y.; Tokuda, Kiyohito; Hamaguchi, Masaharu; Nakabayashi, S.; Tsutsui, Hideo

doi:10.1109/itsc.2005.1520092

Cited by 17 publications

(7 citation statements)

References 9 publications

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“…The effect of buildings, repeater in the intersection center, vehicle density and packet transmission interval on the experienced packet collisions and latency in the scope of Intersection Collision Warning (ICW) is investigated in [6]. Performance of inter-vehicle communication systems and reliability of V2V safety messages has been studied in [7].…”

Section: Related Workmentioning

confidence: 99%

Reliability of vehicle-to-vehicle communication at urban intersections

Zinchenko

Tchouankem

Wolf

2014

2014 7th International Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall)

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Reliability of the Vehicle-to-Vehicle (V2V) communication is one of the key factors towards ensuring large-scale deployment of the cooperative vehicular systems. From the communication perspective, urban intersection scenarios can be challenging due to a frequent absence of line-of-sight (LOS) conditions. It is often combined with highly dense network conditions due to high amount of traffic lights, fast route changes and stop-and-go traffic. In this paper, we evaluate the reliability of V2V applications at urban intersections in congested network conditions. We demonstrate that closed intersection topology is the most favorable when compared to half-opened and opened topologies and that the degradation distance requirement is more challenging to fulfill than the reliable communication range requirement.

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Section: Related Workmentioning

confidence: 99%

Reliability of vehicle-to-vehicle communication at urban intersections

Zinchenko

Tchouankem

Wolf

2014

2014 7th International Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall)

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“…Earlier work on integrated traffic and communications simulations focused on creating simplified models of communication characteristics [20], [21]. This approach featured fast validation of different traffic operational concepts without too much concern about the details of communication efficiency and reliability.…”

Section: Integrated Traffic and Communications Simulatormentioning

confidence: 99%

Integrated Traffic and Communication Performance Evaluation of an Intelligent Vehicle Infrastructure Integration (VII) System for Online Travel-Time Prediction

Chowdhury

Sadek

et al. 2012

IEEE Trans. Intell. Transport. Syst.

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This paper presents a framework for online highway travel-time prediction using traffic measurements that are likely to be available from vehicle infrastructure integration (VII) systems, in which vehicle and infrastructure devices communicate to improve mobility and safety. In the proposed intelligent VII system, two artificial intelligence (AI) paradigms, i.e., artificial neural networks (ANNs) and support vector regression (SVR), are used to determine future travel time based on such information as the current travel time and VII-enabled vehicles' flow and density. The development and performance evaluation of the VII-ANN and VII-SVR frameworks, in both the traffic and communications domains, were conducted using an integrated simulation platform for a highway network in Greenville, SC. In particular, the simulation platform allows for implementing traffic surveillance and management methods in the traffic simulator PARAMICS and for evaluating different communication protocols and network parameters in the communication network simulator, Network Simulator version 2 (ns-2). This paper's findings reveal that the designed communications system can support the travel-time prediction functionality. The findings also demonstrate that the travel-time prediction accuracy of the VII-AI framework was superior to a baseline instantaneous travel-time prediction algorithm, with the VII-SVR model slightly outperforming the VII-ANN model. Moreover, the VII-AI framework was shown to perform reasonably well during nonrecurrent congestion scenarios, which have traditionally challenged sensor-based highway travel-time prediction methods.Index Terms-Artificial intelligence (AI), traffic simulation, travel-time prediction, vehicle infrastructure integration (VII).

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“…Prolonged runtime durations of wireless simulators have attracted the attention of the Ohio State University V2V Consortium and a solution has been developed by generating offline and online wireless simulations [I] [2]. The basic idea behind this approach is to generate a statistical database for the packet error rate and the transmission delay for various traffic scenarios beforehand and use the statistical results from this database while running the vehicular simulations to incorporate the wireless network effects.…”

Section: A Overview Of Integrated Simulatorsmentioning

confidence: 99%

A multiple intersection integrated wireless and vehicular network simulator

Balcioglu

Özgüner

et al. 2009

2009 IEEE Vehicular Networking Conference (VNC)

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A real-time simulator for vehicle-to-vehicle (V2V) communication scenarios with a new integration method for the wireless network simulator NS-2 and the Vehicular and Traffic Simulator (VATSIM) is introduced. Vehicular micro traffic networks with multiple intersections and vehicles using 802.I1p communication are simulated and a collision warning system including a driver response model is investigated under a busy wireless communication channel. Receivers fill t he ir dat ab ase wit h the tran smitt ers W SM co nte nts Collision Wa m m g Syste m di spl ays wam ing sa nd driver takes action

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A complete simulator architecture for inter-vehicle communication based intersection warning systems

Cited by 17 publications

References 9 publications

Reliability of vehicle-to-vehicle communication at urban intersections

Reliability of vehicle-to-vehicle communication at urban intersections

Integrated Traffic and Communication Performance Evaluation of an Intelligent Vehicle Infrastructure Integration (VII) System for Online Travel-Time Prediction

A multiple intersection integrated wireless and vehicular network simulator

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