Cooperative driving: A comprehensive perspective, the role of communications, and its potential development

Cigno, Renato Lo; Segata, Michele

doi:10.1016/j.comcom.2022.06.034

Cited by 13 publications

(6 citation statements)

References 78 publications

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“…To share such information, vehicles could use CP. The leader of platoon B could share raw sensor data with the leader of platoon C, instead of data post-processing results (e.g., distance measurements) to build a more complete view of the surrounding environment, especially when the LoS is obstructed [21], [22]. In our example, not only can vehicles in platoon C be aware of the distance to platoon A, but by receiving raw data such as the camera video stream, they can become aware of vulnerable road users (VRUs) behind the corner (see the zebra crossing in Fig.…”

Section: Cooperative Driving Scenariomentioning

confidence: 99%

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Segata

Lestas

Casari

et al. 2023

2023 18th Wireless on-Demand Network Systems and Services Conference (WONS)

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Future cooperative autonomous vehicles will be able to organize into flexible platoons to improve both the efficiency and the safety of driving. However, platooning requires dependable coordination through the periodic wireless exchange of control messages. Therefore, challenging propagation scenarios as found, e.g., in dense urban areas, may hinder coordination and lead to undesirable vehicle behavior. While reconfigurable intelligent surfaces (RISs) have been advocated as a solution to improper coverage issues, no system-level simulation exists that accounts for realistic road mobility and communication aspects. To this end, we present one such simulator built on top of the OMNeT++-based PLEXE and Veins frameworks. Specifically, our contribution is a simulator that takes into account vehicle mobility, physical layer propagation, RIS coding, and networking protocols. To test our simulator, we implement an RIS-assisted autonomous platoon merging maneuver taking place at an intersection where the absence of any RIS would limit successful communications to an area dangerously close to the intersection itself. Our results validate the simulator as a feasible tool for system-level RIS-assisted cooperative autonomous vehicle maneuvering, and ultimately show the benefit of RIS as roadside infrastructure for wireless coverage extension.

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Section: Cooperative Driving Scenariomentioning

confidence: 99%

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Segata

Lestas

Casari

et al. 2023

2023 18th Wireless on-Demand Network Systems and Services Conference (WONS)

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“…Operational and safety performances improved by dedicating an exclusive lane to CAVs compared to the roundabout where vehicles share the lanes and lane-changing may occur (see Figures 6 and 7). The lane dedicated to CAVs separates the two classes of vehicles here considered, thus ensuring platooning, and effectively drives the travel time and number of total conflicts down [34,49]. Figure 6 shows a slightly higher reduction in the travel times (i.e., the total possible routes of vehicles recorded by the control detectors) on the roundabout with a lane dedicated to CAVs than the roundabout with the shared lanes.…”

Section: Resultsmentioning

confidence: 98%

A Methodological Framework to Assess Road Infrastructure Safety and Performance Efficiency in the Transition toward Cooperative Driving

et al. 2023

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There is increasing interest in connected and automated vehicles (CAVs), since their implementation will transform the nature of transportation and promote social and economic change. Transition toward cooperative driving still requires the understanding of some key questions to assess the performances of CAVs and human-driven vehicles on roundabouts and to properly balance road safety and traffic efficiency requirements. In this view, this paper proposes a simulation-based methodological framework aiming to assess the presence of increasing proportions of CAVs on roundabouts operating at a high-capacity utilization level. A roundabout was identified in Palermo City, Italy, and built in Aimsun (version 20) to describe the stepwise methodology. The CAV-based curves of capacity by entry mechanism were developed and then used as target capacities. To calibrate the model parameters, the capacity curves were compared with the capacity data simulated by Aimsun. The impact on the safety and performance efficiency of a lane dedicated to CAVs was also examined using surrogate measures of safety. The paper ends with highlighting a general improvement with CAVs on roundabouts, and with providing some insights to assess the advantages of the automated and connected driving technologies in transitioning to smarter mobility.

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“…We use PlaFoSim version 0.15.4 with some additional changes, which we will also integrate into its upstream version. 2 A screenshot from the SUMO-based live GUI of PlaFoSim is shown in Figure 2.…”

Section: A Methodologymentioning

confidence: 99%

“…Using Inter-Vehicle Communication (IVC) technologies like 5G-based Cellular Vehicle-to-Everything (C-V2X) communication or Distributed Short-Range Communication (DSRC), vehicles are now able to cooperate with each other. This allows applications such as cooperative driving [1,2].…”

Section: Introductionmentioning

confidence: 99%

Poster: Scalable Simulation of Platoon Formation Maneuvers with PlaFoSim

Heinovski

Buse

Dressler

2021

2021 IEEE Vehicular Networking Conference (VNC)

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Platooning is a promising cooperative driving application for future intelligent transportation systems. In order to assign vehicles to platoons, some algorithm for platoon formation is required. Such vehicle-to-platoon assignments have to be computed on-demand, e.g., when vehicles join or leave the freeways. In order to get best results from platooning, individual properties of involved vehicles have to be considered during the assignment computation. In this paper, we explore the computation of vehicle-to-platoon assignments as an optimization problem based on similarity between vehicles. We define the similarity and, vice versa, the deviation among vehicles based on the desired driving speed of vehicles and their position on the road. We create three approaches to solve this assignment problem: centralized solver, centralized greedy, and distributed greedy, using a Mixed Integer Programming solver and greedy heuristics, respectively. Conceptually, the approaches differ in both knowledge about vehicles as well as methodology. We perform a large-scale simulation study using PlaFoSim to compare all approaches. While the distributed greedy approach seems to have disadvantages due to the limited local knowledge, it performs as good as the centralized solver approach across most metrics. Both outperform the centralized greedy approach, which suffers from synchronization and greedy selection effects. Since the centralized solver approach assumes global knowledge and requires a complex Mixed Integer Programming solver to compute vehicle-to-platoon assignments, we consider the distributed greedy approach to have the best performance among all presented approaches.

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Cooperative driving: A comprehensive perspective, the role of communications, and its potential development

Cited by 13 publications

References 78 publications

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces

A Methodological Framework to Assess Road Infrastructure Safety and Performance Efficiency in the Transition toward Cooperative Driving

Poster: Scalable Simulation of Platoon Formation Maneuvers with PlaFoSim

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