A Novel Method for Predicting Vehicle State in Internet of Vehicles

Joint Authors

Wang, Yirui
Gao, Shangce
Liu, Yanting
Cheng, Ding
Cheng, Jiujun

Source

Mobile Information Systems

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-05-21

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Telecommunications Engineering

Abstract EN

In the fields of advanced driver assistance systems (ADAS) and Internet of Vehicles (IoV), predicting the vehicle state is essential, including the ego vehicle’s position, velocity, and acceleration.

In ADAS, an early position prediction helps to avoid traffic accidents.

In IoV, the vehicle state prediction is essential for the required calculation of the expected reliable communication time between two vehicles.

Many approaches have emerged to perform this vehicle state prediction.

However, such approaches consider limited information of the ego vehicle and its surroundings, and they may not be very effective in practice because the real situation is highly complex and complicated.

Moreover, some of the approaches often lead to a delayed prediction time due to collecting and calculating the substantial history information.

By assuming that the driver is a robot driver, which eliminates distinct driving behaviors of different persons when facing the same situation, this paper creates a decision tree as a new quick and reliable method adapted to all road segments, and it proposes a new method to perform the vehicle state prediction based on this decision tree.

American Psychological Association (APA)

Liu, Yanting& Cheng, Ding& Wang, Yirui& Cheng, Jiujun& Gao, Shangce. 2018. A Novel Method for Predicting Vehicle State in Internet of Vehicles. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1205050

Modern Language Association (MLA)

Liu, Yanting…[et al.]. A Novel Method for Predicting Vehicle State in Internet of Vehicles. Mobile Information Systems No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1205050

American Medical Association (AMA)

Liu, Yanting& Cheng, Ding& Wang, Yirui& Cheng, Jiujun& Gao, Shangce. A Novel Method for Predicting Vehicle State in Internet of Vehicles. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1205050

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1205050