The Need for Cooperative Automated Driving

Mertens, Jan Cedric; Knies, Christian; Diermeyer, Frank; Escherle, Svenja; Kraus, Sven

doi:10.3390/electronics9050754

Cited by 20 publications

(10 citation statements)

References 35 publications

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“…Where M represents number of hops per specific route. So, equation ( 7) can be fairly represented as shown in equation (9).…”

Section: Methodsmentioning

confidence: 99%

“…To achieve intelligent transportation systems objectives, vehicular ad-hoc network (VANET) is devised based on the existing mobile ad-hoc network (MANET), to form a wireless communication infrastructure for information exchange among vehicles. In VANETS, vehicles are equipped through on board units (OBUs) with wireless communication capabilities, which prepare them to form temporary networks while sharing same road within a transmittable distance, without the need for infrastructure connections or road side units (RSUs) [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Iskandarani¹

2020

IJACSA

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Simulation ofVehicle-to Vehicle (V2V) communication and connectivity is carried out. The main objective of the carried out V2Vcommunication simulation is to study the effect of route length, number of hops per route, attenuation related parameter and message size on energy consumption of transmitted bits per sent message. Mathematical modeling (using the original radio energy model), and analysis, is carried out to quantify and approximate the effect of attenuation related parameter (α) and Route Length (LR) on energy consumption of transmitted Basic Safety Message (BSM) for both, 256 Bytes and 320 Bytes size. The original energy radio model is expanded to include not only message size, but also the effect of number of hops on energy consumption. The work successfully proved the critical effect of α and number of hops on energy consumption for a fixed BSM size and the effect of α on the transitional characteristics of routes as a function of number of hops. It is clear from the simulation that α has an adverse effect on consumed energy for transmitted BSMs and also has a marked effect on routes, where any value of α above 3 will lead to energy depletion among, other negative effects on communicating devices.

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“…Where M represents number of hops per specific route. So, equation ( 7) can be fairly represented as shown in equation (9).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Iskandarani¹

2020

IJACSA

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“…Here, it is crucial to understand why a vehicle agent will collaborate with others knowingly benefitting them. Therefore, we define three motivations that influence vehicles to cooperate [ 13 ]:…”

Section: Taxonomy Of Collaborative Drivingmentioning

confidence: 99%

“…What are the cooperation control strategies? To attain self-organized agent formation and to provide autonomy to each agent, we define the coordination strategy as three types [ 13 ]:…”

Section: Taxonomy Of Collaborative Drivingmentioning

confidence: 99%

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Malik

Khan

El-Sayed

2021

Sensors

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Sooner than expected, roads will be populated with a plethora of connected and autonomous vehicles serving diverse mobility needs. Rather than being stand-alone, vehicles will be required to cooperate and coordinate with each other, referred to as cooperative driving executing the mobility tasks properly. Cooperative driving leverages Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication technologies aiming to carry out cooperative functionalities: (i) cooperative sensing and (ii) cooperative maneuvering. To better equip the readers with background knowledge on the topic, we firstly provide the detailed taxonomy section describing the underlying concepts and various aspects of cooperation in cooperative driving. In this survey, we review the current solution approaches in cooperation for autonomous vehicles, based on various cooperative driving applications, i.e., smart car parking, lane change and merge, intersection management, and platooning. The role and functionality of such cooperation become more crucial in platooning use-cases, which is why we also focus on providing more details of platooning use-cases and focus on one of the challenges, electing a leader in high-level platooning. Following, we highlight a crucial range of research gaps and open challenges that need to be addressed before cooperative autonomous vehicles hit the roads. We believe that this survey will assist the researchers in better understanding vehicular cooperation, its various scenarios, solution approaches, and challenges.

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“…Meng et al [366] reported some technological aspects required for the implementation of C-ITS. The characteristics of the cooperation mechanism between vehicles in a CAV environment were analyzed in [367]. However, the use of CAVs requires a centralized traffic management system to optimally distribute vehicles on the traffic network in order to attenuate congestion as proposed in [368].…”

Section: Cooperative Intelligent Transportation Systemsmentioning

confidence: 99%

Sustainable Mobility: A Review of Possible Actions and Policies

Gallo

Marinelli

2020

Sustainability

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In this paper, a review of the main actions and policies that can be implemented to promote sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not exhaustive, analysis of the main studies and research that from different points of view have focused on sustainable mobility. The structure of the paper enables the reader to easily identify the topics covered and the studies related to them, so as to guide him/her to the related in-depth studies. In the first part of the paper, there is a preliminary analysis of the concept of sustainable mobility, the main transport policies implemented by the European Union and the USA, and the main statistical data useful to analyze the problem. Next, the main policies that can promote sustainable mobility are examined, classifying them into three topics: Environmental, socio-economic, and technological. Many of the policies and actions examined could be classified into more than one of the three categories used; for each of them, there is a description and the main literature work on which the topic can be analyzed in more detail. The paper concludes with a discussion on the results obtained and the prospects for research.

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The Need for Cooperative Automated Driving

Cited by 20 publications

References 35 publications

Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Sustainable Mobility: A Review of Possible Actions and Policies

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