Impact of buildings on vehicle-to-vehicle communication at urban intersections

Abstract

Although the potential of Vehicular Ad-Hoc Networks (VANETS) to improve road safety and traffic efficiency for next-generation vehicular traffic system has been well investigated and proved, the performance of vehicle-to-vehicle (V2V) communication, especially at urban intersections has not been clearly quantified. In this paper, we evaluate the effects of buildings on the vehicle-to-vehicle performance at urban intersections based on a profound simulation campaign. Due to the twodimensional nature of intersection topologies, we investigate the performance of V2V communication by analyzing packet delivery ratios and packet drop rates with respect to sender and receiver's position under varying node density and intersection layout. While stationary and mobile obstacles considerably attenuate the received signal power, the results reveal that the presence of buildings could in some situations improve the performance of V2V communication by reducing co-channel interference from hidden nodes.

Observations of 5.9‐GHz Radio Propagation and 802.11p Network Performance at Road Junctions

“…Limitations in the battery life of the equipment meant that these measurements were obtained over a period of four days with small overlaps in d r between successive runs. As for Junction A, measurements made at the overlapping distances were similar indicating that changes in the propagation environment from day to day (e.g., the location of parked cars) had minimal effect, and Error bars are omitted for clarity, but the interdecile ranges in power are typically 5 dB (a similar value to that observed by others, e.g., Tchouankem et al, 2015).…”

“…where d r and d t are the distances from the receiver and transmitter to the intersection center, respectively, w r is the width of the street in which the receiver is located, x t is the distance from the transmitter to the building wall on the same side as the receiver, d b is the breakpoint distance (≈4h t h r /λ, where h t and h r are the height of the antennas at the transmitter and receiver, respectively), λ is the wavelength (0.0508 m for the DSRC band), and i s is the suburban loss factor (which is 0 or 1 for urban and suburban conditions, respectively). This model is valid for d r > 10 m and has been derived from measurements where w r > 20 m, w r ≈ w t (where w t is the width of the street in which the transmitter is located) and d t > 30 m. Other experimental measurements have been reported (e.g., Abbas et al, 2013;Alexander et al, 2011;Cheng et al, 2007b;Schumacher et al, 2012) and path loss models developed (e.g., Sommer et al, 2011;Tchouankem et al, 2015). The model of Sommer et al (2011) accounts for the shadowing and penetration effects of buildings with a pass loss given by…”

Performance Evaluation of Vehicle-to-Vehicle Communication for Cooperative Collision Avoidance at Urban Intersections

“…Adapting the update rate based on the environment in order to improve the reliability of vehicle safety applications is studied in [11]. The analysis of the cumulative effect of shadowing at intersections is the motivation for [12], which is also the closest work to ours. However, in our work, we particularly address the cooperative collision avoidance at urban intersection and study the effect of traffic density, transmission power, data rate, and the in-tersection topology on the performance of the communication system at an intersection.…”

Reliability of vehicle-to-vehicle communication at urban intersections

“…Due to the space limitations, we omit the detailed description of the simulation setup and the propagation model and refer to [9] for details.…”