What Cooperation Costs: Quality of Communication and Cooperation Costs for Cooperative Vehicular Maneuvering in Large-scale Scenarios

Bischoff, Daniel; Schiegg, Florian A.; Meuser, Tobias; Schuller, Dieter; Dycke, Nils; Steinmetz, Ralf

doi:10.5220/0009592403940405

Cited by 4 publications

(3 citation statements)

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“…Some of the metrics addressing the “costs” of the collective perception service, namely the additionally generated load on the wireless communication channel, are message size, channel busy ratio (CBR), and packet delivery ratio (PDR). As opposed to the metrics quantifying the benefit of collective perception, these metrics are common to all V2X services and thus also used, e.g., to evaluate the performance of CAMs [ 26 ] and maneuver coordination messages (MCMs) [ 27 ]. As they are well known to the collective perception community, they are described only briefly.…”

Section: Evaluation Metricsmentioning

confidence: 99%

Collective Perception: A Safety Perspective

Schiegg

Llátser

Bischoff³

et al. 2020

Sensors

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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.

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Section: Evaluation Metricsmentioning

confidence: 99%

Collective Perception: A Safety Perspective

Schiegg

Llátser

Bischoff³

et al. 2020

Sensors

Self Cite

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“…Finally, we compare the performance in our simulation environment considering a dynamic information relevance and the Realistic channel model. For this purpose, we enable the cooperative driving V2X application at intersections described in [41] for our scenario in Figure 1. Vehicles with the intention to turn left will ask for cooperation to avoid stopping in the intersection.…”

Section: ) Simulation Resultsmentioning

confidence: 99%

“…Veins also implements 802.11p on the access layer. We use our cooperative driving Vehicleto-Everything (V2X) application framework for turning at intersections, proposed in [41]. We implement and adapt the Channel Busy Ratio (CBR) measurement model and utilize the European Telecommunications Standard Institute (ETSI) Decentralized Congestion Control (DCC) reference approaches from the Artery framework [42].…”

Section: ) Simulation Setupmentioning

confidence: 99%

Prioritizing Relevant Information: Decentralized V2X Resource Allocation for Cooperative Driving

Bischoff¹,

Schiegg

Schuller³

et al. 2021

IEEE Access

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Cooperative driving is a promising approach to increase traffic efficiency and safety. However, cooperative driving requires high communication performance from the application perspective when coordinating and executing a cooperative maneuver, especially in scenarios with high vehicle densities under congested channel conditions. Recent studies identified that content-agnostic congestion control mechanisms deployed in decentralized vehicular networks, e. g., from the European Telecommunications Standard Institute, maintain the radio communication performance under congested channel conditions but can severely degrade the communication performance from the application perspective. In this paper, we propose a collaborative resource allocation mechanism with content-aware congestion control for decentralized vehicular networks that prioritizes vehicles with relevant information under congested channel conditions. Our evaluation results show that our proposed approach maintains the radio communication performance and significantly increases the communication performance from the application perspective compared to content-agnostic congestion control mechanisms.

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