Cooperative Awareness in the Internet of Vehicles for Safety Enhancement

Abstract

Connected vehicles will improve safety and enable new services to drivers and passengers. One of the main enabled services will be the cooperative awareness, that is the broadcast transmission of periodic messages containing updated information on status and movements. This continuos communication may help the drivers in critical situations and eventually enable vehicles to autonomously coordinate their actions. Being IEEE 802.11p still the de-facto standard for vehicle-to-vehicle (V2V) communications, in this paper we investigate its performance for cooperative awareness through large scale simulations involving hundred of nodes under various settings, and considering the combinations of different modulations and coding schemes. Results highlight the effect of traffic density, obstacles, and physical layer settings on both the reception reliability and the delay of information update, giving guidelines for the system design under realistic propagation and road traffic conditions.

CAD3: Edge-facilitated Real-time Collaborative Abnormal Driving Distributed Detection

“…Given the IEEE 802.11p modulation and coding schemes (MCSs) [25], the time is 92.62 ms, using MCS 3 and 54.28 ms using MCS 8, where t slot =9 µs, SIFS=16 µs [26], [27], cw max = 255, and p c ≤ 0.03 [24], the collision probability that is proportional to vehicle density and the distance to RSU. Each vehicle waits backoff time at maximum.…”

ATOMIC: Adaptive Transmission Power and Message Interval Control for C-V2X Mode 4

“…Those are summarized in TABLE 1. Each safety application may have different range requirements, and the communication range specified by NHTSA (only) has values from 150 to 500 m. As the name of NHTSA implies, these ranges are only applicable to highway scenarios, and are not suitable for dense urban scenarios [23]. Based on these requirements, we adopt different communication ranges for different scenarios in this work.…”

“…• CAM range (r CAM ) is the maximum distance at which the achieved PRR exceeds the minimum acceptable PRR, PRR TH . This metric has already been considered in the literature, and the threshold is typically set to 0.9 [23], [47]- [49]. For this reason, we also set PRR TH to 0.9 in our evaluation.…”

Cooperative Automated Vehicles: A Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking

“…[49], [50]. The work in [51] investigated a mechanism where 802.11p v2v communications was used for frequent updates.…”

“…Approaches and Communications Selected References and Examples Parking centralised and decentralised via v2v communications alone, or involving v2i communications with infrastructure help [10], [11], [12], [13] Routing centralised knowledge for coordination, v2v information sharing and routing, or indirect coordination methods such as stigmergy [14], [15], [16], [20] Dynamic Traffic Flows swarm models of behaviour via v2v communications and VANETs [7], [23], [24], [25] Platooning, Intersection and Safety vehicle platooning protocols, use of intersection coordinators, or purely v2v communications to share status information for coordination, computation of individual vehicle traffic flows to avoid collisions, decentralised negotiation on road resources, cooperative adaptive cruise control methods [26], [58], [27], [28], [29], [30], [7], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [47], [46], [48] Cooperative Awareness intelligent aggregation of information shared via v2v communications and high-level reasoning [49], [50], [51] Social Memory and Social Networks social networks among people in vehicles induced by proximity o...…”