Performance study of CAM over IEEE 802.11p for cooperative adaptive cruise control

Shagdar, Oyunchimeg; Nashashibi, Fawzi; Tohmé, Samir

doi:10.1109/wd.2017.7918118

Cited by 11 publications

(13 citation statements)

References 19 publications

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“…• Only vehicles within the same platoon are assumed to be synchronized. IEEE 802.11pbased [17,18,6] • Employ IEEE 802.11p schemes to study the impact of different beaconing frequencies, platoon sizes, intra-platoon distances, and various vehicular highway loading levels on the communication channels. • Typical measured metrics are probability of successful transmission and platoon stability.…”

Section: Networking and Communicationsmentioning

confidence: 99%

“…The study presented in [18] presents analytical and simulation models for capturing the impact of Coopera-tive Awareness Messages (CAMs) exchange process, when applied for platooning control. The authors assume both platoon-organized and regular vehicles traveling on a highway and periodically exchanging CAM messages.…”

Section: Traffic Flow Optimizationmentioning

confidence: 99%

“…is defined in Equation 5. The objective function F is maximized by setting the velocity levels in each link to a value that maximize the right-hand side of Equation (18). This is achieved by finding the value of v k that maximizes the function…”

Section: Single Lane Multiple Link Casementioning

confidence: 99%

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Traffic management and networking for autonomous vehicular highway systems

et al. 2019

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We develop traffic management and data networking mechanisms and study their integrated design for an autonomous transportation system. The traffic management model involves a multi-lane multi-segment highway. Ramp managers regulate admission of vehicles into the highway and their routing to designated lanes. Vehicles moving across each lane are organized into platoons. A Platoon Leader (PL) is elected in each platoon and is used to manage its members and their communications with the infrastructure and with vehicles in other platoons. We develop new methods that are employed to determine the structural formations of platoons and their mobility processes in each lane, aiming to maximize the realized flow rate under vehicular end-to-end delay constraints. We set a limit on the vehicular on-ramp queueing delay and on the (per unit distance) transit time incurred along the highway. We make use of the platoon formations to develop new Vehicle-to-Vehicle (V2V) wireless networking cross-layer schemes that are used to disseminate messages among vehicles traveling within a specified neighborhood. For this purpose, we develop algorithms that configure a hierarchical networking architecture for the autonomous system. Certain platoon leaders are dynamically assigned to act as Backbone Nodes (BNs). The latter are interconnected by communications links to form a Backbone Network (Bnet). Each BN serves as an access point for its Access Network (Anet), which consists of its mobile clients. We study the delay-throughput performance behavior of the network system and determine the optimal setting of its parameters, assuming both TDMA and IEEE 802.11p oriented wireless channel sharing (MAC) schemes. Integrating these traffic management and data networking mechanisms, we demonstrate the performance tradeoffs available to the system designer and manager when aiming to assure an autonomous transportation system operation that achieves targeted vehicular flow rates and transit delays while also setting the data communications network system to meet targeted message throughput and delay objectives.

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Section: Networking and Communicationsmentioning

confidence: 99%

Section: Traffic Flow Optimizationmentioning

confidence: 99%

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Traffic management and networking for autonomous vehicular highway systems

et al. 2019

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“…e performance of the CACC with different CAM beaconing schemes implemented on top of the 802.11p is evaluated in [19]. Further simulation examples presenting the performance of the 802.11p-based CACC are given in [20][21][22]. e link-level (i.e., block error rate (BLER) versus signal-to-noise ratio (SNR)) and system-level (i.e., packet reception rate (PRR) versus distance) performance of 802.11p and cellular vehicle-to-anything (C-V2X) has been compared in [23][24][25].…”

Section: Contemporary Solutions For V2v and V2x Communicationsmentioning

confidence: 99%

On the Context-Aware, Dynamic Spectrum Access for Robust Intraplatoon Communications

Sybis

Kryszkiewicz

Sroka

2018

Mobile Information Systems

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Vehicle platooning is a promising technology that allows to improve the traffic efficiency and passengers safety. Platoons that use cooperative adaptive cruise control, however, require a reliable radio link between platoon members to ensure a required distance between the cars within the platoon, thus maintaining platoon safety. Nowadays, the communication can be realized with the use of 802.11p or cellular vehicle-to-vehicle (C-V2V), but none of this technology is able to provide a reliable link especially in the presence of high traffic or urban scenarios. Therefore, in this paper, we propose a dynamic spectrum management mechanism in V2V communications for platooning purposes. A management system architecture is proposed that comprises the use of context-aware databases, sensing nodes, and spectrum allocation entity. The proposed robust system design aims to keep only the minimum necessary information transmitted over the conventional intelligent transportation system (ITS) channel, while moving the remaining data (nonsafety, service-aided, or infotainment) to an alternative channel that is selected from the available pool of spectrum white spaces. The initial analysis indicates that the proposed system may significantly improve the performance of wireless communications for the purpose of vehicle platooning.

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“…Most of the existing efforts on platooning have been concentrated on the control/behavior of the individual platoon members [3] [4], or on the interaction/communication between the platoon members [6][7] for a stable chain [4][5] [7]. Nevertheless, there is a lack of studies that have investigated the platoon in its environment, sharing the road with other vehicles under the strong traffic regulations (traffic lights, speed limits, and so on).…”

Section: Introductionmentioning

confidence: 99%

Toward Efficient Simulation Platform for Platoon Communication in Large Scale C-ITS Scenarios

Soua

Shagdar

Lasgouttes

2018

2018 International Symposium on Networks, Computers and Communications (ISNCC)

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With recent technological advances made in the field of vehicular communications, a plethora of applications has emerged that aim to improve driver safety and traffic fluidity. The platooning application is expected to be a good first step to tame autonomous driving, especially traffic congestion problems in big cities. In this context, it is important to study a platoon of vehicles in its environment, sharing the road and wireless channel with other road users. For such a scenario, efficient simulation tools come in handy for studying vehicular communications in large scale environments. This paper presents a step toward improving iTETRIS simulation platform to simulate platoon communications in large-scale connected vehicles use case. To this end, a restricted communication zone, centered around the leading vehicle of the platoon, and in which vehicles can receive and send packets is introduced to limit the computational cost of communication simulation. The merits of the improved platform in term of time execution efficiency compared to iTETRIS are shown through extensive simulation using real mobility traces.

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Performance study of CAM over IEEE 802.11p for cooperative adaptive cruise control

Cited by 11 publications

References 19 publications

Traffic management and networking for autonomous vehicular highway systems

Traffic management and networking for autonomous vehicular highway systems

On the Context-Aware, Dynamic Spectrum Access for Robust Intraplatoon Communications

Toward Efficient Simulation Platform for Platoon Communication in Large Scale C-ITS Scenarios

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