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Internet of vehicles: sensing aided transportation information collection and diffusion

Internet of vehicles: sensing aided transportation information collection and diffusion
Internet of vehicles: sensing aided transportation information collection and diffusion

In view of the emergence and rapid development of the Internet of Vehicles (IoV) and cloud computing, intelligent transport systems (ITS) are beneficial in terms of enhancing the quality and interactivity of urban transportation services, of reducing costs and resource wastage, as well as of improving the traffic management capability. Efficient traffic management relies on the accurate and prompt acquisition as well as diffusion of traffic information. To achieve this, research is mostly focused on optimizing the mobility models and communication performance. However, considering the escalating scale of IoV networks, the interconnection of heterogeneous smart vehicles plays a critical role in enhancing the efficiency of traffic information collection and diffusion. In this paper, we commence by establishing a weighted and undirected graph model for IoV sensing networks and verify its time-invariant complex characteristics relying on a real-world taxi-GPS dataset. Moreover, we propose an IoV aided local traffic information collection architecture, a sink node selection scheme for the information influx as well as an optimal traffic information transmission model. Our simulation results and theoretical analysis show the efficiency and feasibility of our proposed models.

Electronic mail, information diffusion, Information processing, intelligent transport systems (ITS), Internet, Internet of Vehicles (IoV), Roads, Sensors, Topology, traffic information collection, Urban areas
0018-9545
Wang, Jingjing
d73996d6-739d-4731-b70a-54df6f17e30e
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Jingjing
d73996d6-739d-4731-b70a-54df6f17e30e
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Han, Zhu
28e29deb-d470-4165-b198-0923aeac3689
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Jingjing, Jiang, Chunxiao, Han, Zhu, Ren, Yong and Hanzo, Lajos (2018) Internet of vehicles: sensing aided transportation information collection and diffusion. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2018.2796443).

Record type: Article

Abstract

In view of the emergence and rapid development of the Internet of Vehicles (IoV) and cloud computing, intelligent transport systems (ITS) are beneficial in terms of enhancing the quality and interactivity of urban transportation services, of reducing costs and resource wastage, as well as of improving the traffic management capability. Efficient traffic management relies on the accurate and prompt acquisition as well as diffusion of traffic information. To achieve this, research is mostly focused on optimizing the mobility models and communication performance. However, considering the escalating scale of IoV networks, the interconnection of heterogeneous smart vehicles plays a critical role in enhancing the efficiency of traffic information collection and diffusion. In this paper, we commence by establishing a weighted and undirected graph model for IoV sensing networks and verify its time-invariant complex characteristics relying on a real-world taxi-GPS dataset. Moreover, we propose an IoV aided local traffic information collection architecture, a sink node selection scheme for the information influx as well as an optimal traffic information transmission model. Our simulation results and theoretical analysis show the efficiency and feasibility of our proposed models.

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Internet of Vehicles: Sensing Aided Transportation - Accepted Manuscript
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More information

Accepted/In Press date: 19 January 2018
e-pub ahead of print date: 23 January 2018
Additional Information: Am added to record pls re-validate.
Keywords: Electronic mail, information diffusion, Information processing, intelligent transport systems (ITS), Internet, Internet of Vehicles (IoV), Roads, Sensors, Topology, traffic information collection, Urban areas

Identifiers

Local EPrints ID: 417611
URI: http://eprints.soton.ac.uk/id/eprint/417611
ISSN: 0018-9545
PURE UUID: 113c325c-222a-4198-abc3-dd29ce4dc989
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 07 Feb 2018 17:30
Last modified: 07 Oct 2020 01:33

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