Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns

Liu, Bingyi; Jia, Dongyao; Lu, Kejie; Chen, Haibo; Yang, Rongwei; Wang, Jianping; Barnard, Yvonne; Wu, Libing

doi:10.1109/tits.2017.2661962

Cited by 32 publications

(14 citation statements)

References 33 publications

(42 reference statements)

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“…In [102], a novel beacon scheduling algorithm has been proposed to guarantee the reliable and timely dissemination of two types of beacon messages in HDVNETs, i.e., event-driven safety messages for manually driving vehicles and periodic beacon messages for cooperative driving of AVs. However, in most HDVNETs scenarios, message types are more complex than the one that has been considered in [102].…”

Section: A Heterogeneous Driving Vehicular Networkmentioning

confidence: 99%

Vehicular Communications: A Network Layer Perspective

Peng

Liang

Shen

et al. 2019

IEEE Trans. Veh. Technol.

243

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Vehicular communications, referring to information exchange among vehicles, pedestrians, and infrastructures, have become very popular and been widely studied recently due to its great potential to support intelligent transportation and various safety applications. Via vehicular communications, manually driving vehicles and autonomous vehicles can collect useful information to improve traffic safety and support infotainment services. In this paper, we provide a comprehensive overview of recent research on enabling efficient vehicular communications from the network layer perspective. First, we introduce general applications and unique characteristics of vehicular networks and the corresponding classifications. Based on different driving patterns of vehicles, we divide vehicular networks into two categories, i.e., manually driving vehicular networks and automated driving vehicular networks, and then discuss the available communication techniques, network structures, routing protocols, and handoff strategies applied in these vehicular networks. Finally, we identify the challenges confronted by the current vehicular communications and present the corresponding research opportunities. Index TermsVehicular communications; manually driving vehicles; autonomous vehicles; routing protocols; handoff strategies; communication technologies. from the perspective of the physical layer in [1]. Via enabling vehicles to exchange information with other vehicles (i.e., vehicle-to-vehicle, V2V), pedestrians (i.e., vehicle-to-pedestrian, V2P), and infrastructures (i.e., vehicle-to-infrastructure, V2I), vehicular communications are expected to support a variety of applications, including intelligent transportation and safety applications [2], [3]. However, due to the high mobility and complicated communications environments, it is very challenging to provide efficient vehicular communications to satisfy the different requirements, especially, higher reliability and lower latency for sharing safety-related information.Manually driving vehicular networks (MDVNETs), referring to communications among vehicles with only manually driving patterns, are one of the main applications of vehicular communications and have been widely considered in the existing works [4]. MDVNETs can help manually driving vehicles to improve the traffic safety and provide infotainment services to drivers and passengers [3].Owing to the advances in sensor technologies, wireless communications, computational power, and intelligent control, a new driving pattern, named automated driving, is gradually applied in vehicles, and then autonomous vehicles (AVs) are generated and begin to be test-driven on the roads. According to a report from the National Highway Safety Administration (NHTSA) [5], passenger vehicles can be classified into five distinct levels of autonomy, as shown in Table I.Manually driving vehicles mentioned in this paper refer to the vehicles with level 0 autonomy while AVs refer to vehicles with level 4 autonomy. It is expected that no human actions o...

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Section: A Heterogeneous Driving Vehicular Networkmentioning

confidence: 99%

Vehicular Communications: A Network Layer Perspective

Peng

Liang

Shen

et al. 2019

IEEE Trans. Veh. Technol.

243

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“…Liu et al [22] propose an infrastructure-assisted message dissemination framework that uses the capability of infrastructures and supports heterogeneous driving patterns. For the simulated system, each vehicle was equipped with a communication module which integrated IEEE 802.11p/ITS-5G protocols and a GPS receiver, as well as onboard sensors to detect the vehicle's kinetic status.…”

Section: A Intelligent Transportation Systemsmentioning

confidence: 99%

Smart mobility: A survey

Faria¹,

Brito²,

Baras³

et al. 2017

2017 International Conference on Internet of Things for the Global Community (IoTGC)

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Internet of Things (IoT) describes a world where everyday objects are always connected to the Internet, allowing them to communicate and interact with each other. By connecting these everyday objects to the Internet and making them available everywhere at any time, IoT allows to remotely monitor, manage, and gather status information about them and their surrounding environment. IoT is a revolutionary concept that brought new experiences to everyday life and enabled Smart City initiatives all over the world. These initiatives are using a combination of technology paired with physical infrastructure and services, to improve people's quality of life. One of the highpriority domain to support the Smart City's vision is the field of Smart Mobility. This paper reviews the current IoT approaches and concepts related to Smart Cities and Smart Mobility. In addition, it analyzes distinct features and numerous applications covering both Intelligent Transportation and Real Time Traffic Management Systems.

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“…Thus it requires highly reliable and low latency data delivery to maintain platoon stability. Some beaconing strategies have been proposed to support vehicle platooning, in which the platoon leader as the coordinator allocates the beaconing slots for its members, and the beaconing rate and frequency can be dynamically changed according to the channel condition and vehicle control requirement [4], [10], [11], [17]. It is worth mentioning that, to achieve a reliable vehicle platooning and higher channel utilization, a high level of communication coordination is a must.…”

Section: Related Workmentioning

confidence: 99%