Impact of Imperfect Communication on Cooperative Vehicular Maneuvering at Intersections

Bischoff, Daniel; Schiegg, Florian A.; Meuser, Tobias; Steinmetz, Ralf

doi:10.1109/vtc2020-spring48590.2020.9128485

Cited by 15 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another example, Schiegg et al compute when the vehicle has received sufficient information to determine and head for a gap on the highway [ 19 ]. Not surprisingly, together with the change in speed and acceleration, it is the most relevant metric to evaluate the benefits of the MCM in terms of traffic efficiency [ 47 ].…”

Section: Evaluation Metricsmentioning

confidence: 99%

Collective Perception: A Safety Perspective

Schiegg

Llátser

Bischoff³

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Vehicle-to-everything (V2X) communication is seen as one of the main enabling technologies for automated vehicles. Collective perception is especially promising, as it allows connected traffic participants to “see through the eyes of others” by sharing sensor-detected objects via V2X communication. Its benefit is typically assessed in terms of the increased object update rate, redundancy, and awareness. To determine the safety improvement thanks to collective perception, the authors introduce new metrics, which quantify the environmental risk awareness of the traffic participants. The performance of the V2X service is then analyzed with the help of the test platform TEPLITS, using real traffic traces from German highways, amounting to over 100 h of total driving time. The results in the considered scenarios clearly show that collective perception not only contributes to the accuracy and integrity of the vehicles’ environmental perception, but also that a V2X market penetration of at least 25% is necessary to increase traffic safety from a “risk of serious traffic accidents” to a “residual hypothetical risk of collisions without minor injuries” for traffic participants equipped with non-redundant 360° sensor systems. These results support the ongoing worldwide standardization efforts of the collective perception service.

show abstract

Section: Evaluation Metricsmentioning

confidence: 99%

Collective Perception: A Safety Perspective

Schiegg

Llátser

Bischoff³

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Future work will be directed to the safety analysis of other cooperative manoeuvres at intelligent intersections, for example, a left turn [23], and more complex traffic scenarios.…”

Section: Discussionmentioning

confidence: 99%

Efficiently Bounding the Probabilities of Vehicle Collision at Intelligent Intersections

Thunberg

Сидоренко

Sjöberg

et al. 2021

IEEE Open J. Intell. Transp. Syst.

View full text Add to dashboard Cite

Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency braking messages are broadcast to affected vehicles. We provide a framework for computing lower bounds on probabilities for safe braking -collisions between vehicles are to be avoided. If we require that a crash or collision, for example, occurs at most once in a million scenarios, our approach allows for computation of lower bounds on the time-varying (or distance-varying) packet loss probabilities to ensure this. One of the benefits of the proposed framework is that the computational time is reduced; eliminating, for example, the need for time-consuming Monte Carlo simulations.

show abstract

“…This step takes as input the schedule table S, obtained with Algorithm 1. For each v ∈ V and for each s ∈ S, if there is no u ∈ N 12 v that is already scheduled in slot s, then assign slot s to v (lines [3][4][5][6][7][8][9][10][11]. The output of this second step is a schedule table S in which the number of scheduling opportunities for each vehicle v is maximal.…”

Section: Central Schedulementioning

confidence: 99%

“…Cooperative awareness and sensing of the road environment is among the key services supported by vehicular networking. Specifically, we consider a vehicular network in which vehicles periodically exchange 1-hop broadcast messages, e.g., Cooperative Awareness Messages (CAMs) [1], Basic Safety Messages (BSMs) [2], Collective Perception Messages (CPMs) [3], or Maneuver Coordination Messages (MCMs) [4]. The effectiveness of safety applications, built upon these messages exchange, highly depends on the accuracy and timeliness of status information contained in these messages and shared periodically among vehicles [5].…”

Section: Introductionmentioning

confidence: 99%

An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Networks

Turcanu

Baiocchi

Lyamin

et al. 2021

2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet)

View full text Add to dashboard Cite

Vehicular networking enables a wide range of emerging Cooperative Intelligent Transportation System (C-ITS) applications, from safety to traffic efficiency and infotainment. Many of these applications depend on the reliability and timeliness of status information periodically exchanged among vehicles on the same wireless communication channel. A major effort has been spent, especially by standardization bodies, to define congestion control algorithms for the vehicular networking environment. The picture is, however, more complex than simply controlling the load level on the channel, given the non-trivial interplay of delivery reliability, system throughput, and timeliness of updates. In this paper, we provide a comprehensive performance evaluation of the main state-ofthe-art broadcast rate control algorithms from the point of view of channel load, utilization efficiency, and information freshness. We evaluate these algorithms in a realistic simulation environment and describe a centralized approach to define a bound on the performance. We show that controlling the congestion based on either channel load or information freshness only leads to sub-optimal performance.

show abstract

Impact of Imperfect Communication on Cooperative Vehicular Maneuvering at Intersections

Cited by 15 publications

References 12 publications

Collective Perception: A Safety Perspective

Collective Perception: A Safety Perspective

Efficiently Bounding the Probabilities of Vehicle Collision at Intelligent Intersections

An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Networks

Contact Info

Product

Resources

About