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Modeling the dynamic cut-in situation

Modeling the dynamic cut-in situation
Modeling the dynamic cut-in situation
We report on an instrumented vehicle study performed on a motorway in the U.K. to examine the behaviour of drivers when faced with the cut-in of a vehicle lane changing into the space between themselves and the preceding vehicle. Data concerning this activity is in very short supply and may be used for not only formulating models of human response in driving but also for the design and optimisation of driver assistance aids such as Adaptive Cruise Control (ACC).

The cut-in vehicle used was equipped with a rear facing radar unit enabling it to monitor the degree and speed with which drivers attempted to restore their original headway. ‘Cut-ins’ from both directions were examined – moving in from a slower lane (94 events) as well as from a faster lane (72 events). The criticality experienced by the follower vehicle ranged from moderately severe (time to collision around 10s and time gap around 0.35s) to non critical (lead car’s speed at cut in greater than follower speed and time headway beyond steady state values).

Findings have revealed that the ‘pullback’ behaviour, at least over the initial 5- 10 seconds, can be described by a constant ‘pull back’ speed (the rate of decrease of the initial speed), and causative models for this response have been derived using ‘instantaneous’ variables (those that may be calculated on cut-in, such as relative speed and TTC for example) and longer term ‘target’ variables, such as desired headway, the former of which have been found as being most effective in describing behaviour. Lastly, empirical responses have been compared to those that would be produced by ACC systems where we find that a comparatively close match is produced for low values of relative speed
autonomous intelligent cruise control, behavior, drivers, field studies, headways, instrumented vehicles, lane changing, adaptive cruise control, pullback speed, time to collision
45-51
Transportation Research Board
Sultan, B.
382be5fc-91b9-4cbd-a052-22c4c047cc1d
Brackstone, M.
c71d6261-447a-45a9-a5ee-35e514a616c9
Waterson, B.
60a59616-54f7-4c31-920d-975583953286
Boer, E.R.
2261adb0-8b22-4ba0-a8f3-2abc1af63c7f
Transportation Research Board
Sultan, B.
382be5fc-91b9-4cbd-a052-22c4c047cc1d
Brackstone, M.
c71d6261-447a-45a9-a5ee-35e514a616c9
Waterson, B.
60a59616-54f7-4c31-920d-975583953286
Boer, E.R.
2261adb0-8b22-4ba0-a8f3-2abc1af63c7f

Sultan, B., Brackstone, M., Waterson, B. and Boer, E.R. (2002) Modeling the dynamic cut-in situation. In Proceedings of the 81st Annual Meeting of the Transportation Research Board. vol. 1803, Transportation Research Board. pp. 45-51 . (doi:10.3141/1803-07).

Record type: Conference or Workshop Item (Paper)

Abstract

We report on an instrumented vehicle study performed on a motorway in the U.K. to examine the behaviour of drivers when faced with the cut-in of a vehicle lane changing into the space between themselves and the preceding vehicle. Data concerning this activity is in very short supply and may be used for not only formulating models of human response in driving but also for the design and optimisation of driver assistance aids such as Adaptive Cruise Control (ACC).

The cut-in vehicle used was equipped with a rear facing radar unit enabling it to monitor the degree and speed with which drivers attempted to restore their original headway. ‘Cut-ins’ from both directions were examined – moving in from a slower lane (94 events) as well as from a faster lane (72 events). The criticality experienced by the follower vehicle ranged from moderately severe (time to collision around 10s and time gap around 0.35s) to non critical (lead car’s speed at cut in greater than follower speed and time headway beyond steady state values).

Findings have revealed that the ‘pullback’ behaviour, at least over the initial 5- 10 seconds, can be described by a constant ‘pull back’ speed (the rate of decrease of the initial speed), and causative models for this response have been derived using ‘instantaneous’ variables (those that may be calculated on cut-in, such as relative speed and TTC for example) and longer term ‘target’ variables, such as desired headway, the former of which have been found as being most effective in describing behaviour. Lastly, empirical responses have been compared to those that would be produced by ACC systems where we find that a comparatively close match is produced for low values of relative speed

Full text not available from this repository.

More information

Published date: 2002
Additional Information: Paper 02-3009
Venue - Dates: 81st Annual Meeting of the Transportation Research Board, United States, 2002-01-13 - 2002-01-17
Keywords: autonomous intelligent cruise control, behavior, drivers, field studies, headways, instrumented vehicles, lane changing, adaptive cruise control, pullback speed, time to collision

Identifiers

Local EPrints ID: 74681
URI: http://eprints.soton.ac.uk/id/eprint/74681
PURE UUID: 222a2ad6-1f7e-4ea1-9120-d725321ba04d
ORCID for B. Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 29 Oct 2019 02:00

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