Title
How Gaps are Created during Anticipation of Lane Changes
Author
Chen, Kequan (Southeast University)
Knoop, V.L. (TU Delft Transport and Planning) 
Liu, Pan (Southeast University)
Li, Zhibin (Southeast University)
Wang, Yuxuan (Southeast University)
Date
2023
Abstract
The pre-insertion process called anticipation is an essential component of a lane-changing manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this paper aims to explore the behaviour of the new follower (NF) in the target lane when it encounters anticipation by using new trajectory datasets. The changing magnitude of the reaction pattern is proposed to identify the NF’s behaviour. We find that the anticipation significantly affects the NF’s movement in terms of gap creation and speed reduction. Then, we conduct a detailed analysis of critical variables to reveal their relationship with the NF’s behaviour. Following this, we develop binary logistic models to predict the NF’s behaviour, resulting in a good performance. It also suggests that the NF’s behaviour is highly related to the anticipation-related variables. The transferability test results show that this model can be directly used in different locations and times with satisfactory accuracy.
Subject
Anticipation behavilour
lane-changing impact
car-following behaviour
microscopic trajectory data
To reference this document use:
http://resolver.tudelft.nl/uuid:22efc57b-9411-4b75-b2b0-274858635660
DOI
https://doi.org/10.1080/21680566.2022.2152129
Embargo date
2023-07-01
ISSN
2168-0566
Source
Transportmetrica B: Transport Dynamics, 11 (1), 958-978
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2023 Kequan Chen, V.L. Knoop, Pan Liu, Zhibin Li, Yuxuan Wang