A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System

Joint Authors

Yeo, Hwasoo
Tak, Sehyun
Kim, Sunghoon
Lee, Donghoun

Source

Journal of Advanced Transportation

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-11-01

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Surrogate Safety Measure (SSM) is one of the most widely used methods for identifying future threats, such as rear-end collision.

Various SSMs have been proposed for the application of Advanced Driver Assistance Systems (ADAS), including Forward Collision Warning System (FCWS) and Emergency Braking System (EBS).

The existing SSMs have been mainly used for assessing criticality of a certain traffic situation or detecting critical actions, such as severe braking maneuvers and jerking before an accident.

The ADAS shows different warning signals or movements from drivers’ driving behaviours depending on the SSM employed in the system, which may lead to low reliability and low satisfaction.

In order to explore the characteristics of existing SSMs in terms of human driving behaviours, this study analyzes collision risks estimated by three different SSMs, including Time-To-Collision (TTC), Stopping Headway Distance (SHD), and Deceleration-based Surrogate Safety Measure (DSSM), based on two different car-following theories, such as action point model and asymmetric driving behaviour model.

The results show that the estimated collision risks of the TTC and SHD only partially match the pattern of human driving behaviour.

Furthermore, the TTC and SHD overestimate the collision risk in deceleration process, particularly when the subject vehicle is faster than its preceding vehicle.

On the other hand, the DSSM shows well-matched results to the pattern of the human driving behaviour.

It well represents the collision risk even when the preceding vehicle moves faster than the follower one.

Moreover, unlike other SSMs, the DSSM shows a balanced performance to estimate the collision risk in both deceleration and acceleration phase.

These research findings suggest that the DSSM has a great potential to enhance the driver’s compliance to the ADAS, since it can reflect how the driver perceives the collision risks according to the driving behaviours in the car-following situation.

American Psychological Association (APA)

Tak, Sehyun& Kim, Sunghoon& Lee, Donghoun& Yeo, Hwasoo. 2018. A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181704

Modern Language Association (MLA)

Tak, Sehyun…[et al.]. A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System. Journal of Advanced Transportation No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1181704

American Medical Association (AMA)

Tak, Sehyun& Kim, Sunghoon& Lee, Donghoun& Yeo, Hwasoo. A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181704

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1181704