Traffic Dynamic Model for Attacked Information Propagation under V2V Communication Networks

2021 ◽  
Author(s):  
Yilong Ren ◽  
Mengru Yan ◽  
Xiaoya Xu ◽  
Haiyang Yu
2021 ◽  
Author(s):  
Cristian Adam ◽  
Russell Andres ◽  
Brandon Smyth ◽  
Timothy Kleinow ◽  
Katharina Grenn ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Faika Hoque ◽  
Sungoh Kwon

This paper proposes an effective warning message forwarding scheme for cooperative collision avoidance. In an emergency situation, an emergency-detecting vehicle warns the neighbor vehicles via an emergency warning message. Since the transmission range is limited, the warning message is broadcast in a multihop manner. Broadcast packets lead two challenges to forward the warning message in the vehicular network: redundancy of warning messages and competition with nonemergency transmissions. In this paper, we study and address the two major challenges to achieve low latency in delivery of the warning message. To reduce the intervehicle latency and end-to-end latency, which cause chain collisions, we propose a two-way intelligent broadcasting method with an adaptable distance-dependent backoff algorithm. Considering locations of vehicles, the proposed algorithm controls the broadcast of a warning message to reduce redundant EWM messages and adaptively chooses the contention window to compete with nonemergency transmission. Via simulations, we show that our proposed algorithm reduces the probability of rear-end crashes by 70% compared to previous algorithms by reducing the intervehicle delay. We also show that the end-to-end propagation delay of the warning message is reduced by 55%.


2021 ◽  
Vol 561 ◽  
pp. 125266
Author(s):  
Minglei Fu ◽  
Jun Feng ◽  
Dmytro Lande ◽  
Oleh Dmytrenko ◽  
Dmytro Manko ◽  
...  

Author(s):  
Hao Wu ◽  
Jaesup Lee ◽  
Michael Hunter ◽  
Richard Fujimoto ◽  
Randall L. Guensler ◽  
...  

Exploitation of in-vehicle information technology (e.g., mobile computing and wireless communications) in surface transportation systems is a clearly emerging trend. Equipping vehicles with computing, communication, and sensing capabilities presents significant opportunities for a vast array of transportation services. Vehicle-to-vehicle (V2V) communication may be considered for applications such as incident detection, crash reporting, traveler information dissemination, and network operations. In-vehicle computing systems facilitate the customization of information services to the needs and characteristics of individual travelers. In addition, these systems allow coverage to extend beyond areas where roadside equipment has been placed. This study provides the initial investigation needed to test the feasibility of these advanced communication networks. Several observations may be drawn from the study. First, V2V communication is a feasible way to propagate information along the I-75 freeway in the Atlanta, Georgia, area during peak or high-density traffic periods. With sufficient fleet penetration ratio and traffic density, information can quickly propagate through the system. Second, the simulation methodology described in this study allows researchers to estimate the required fleet penetration ratio for effective communication given the traffic density and application requirements. Third, delay in message propagation is highly variable until instrumented-vehicle density reaches a critical mass. For applications requiring highly reliable, minimal message propagation delay, it may be necessary to design networks that provide extra support to avoid such variation. Research is required to examine additional traffic conditions (e.g., congestion due to an incident) and study the effectiveness of this approach for particular applications.


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