First order multi-lane traffic flow model – an incentive based macroscopic model to represent lane change dynamics

Subraveti, Hari Hara Sharan Nagalur; Knoop, Victor L.; Arem, Bart van

doi:10.1080/21680566.2019.1700846

Cited by 9 publications

(2 citation statements)

References 35 publications

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“…The relaxation stage has attracted a lot of attention in the literature due to its obvious negative impact (Laval and Daganzo 2006;Carey, Balijepalli, and Watling 2015;Jin 2017;Nagalur Subraveti, Knoop, and van Arem 2019;Yuan et al 2019). During the relaxation process, the LC is more likely to increase its spacing ahead to a more considerable value larger than the equilibrium value (Smith 1985;Leclercq et al 2007).…”

Section: Introductionmentioning

confidence: 99%

How gaps are created during anticipation of lane changes

Chen

Knoop

Liu

et al. 2022

Transportmetrica B: Transport Dynamics

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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.

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Section: Introductionmentioning

confidence: 99%

How gaps are created during anticipation of lane changes

Chen

Knoop

Liu

et al. 2022

Transportmetrica B: Transport Dynamics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Roncoli et al (2015) proposed a lane-changing model using density difference as attractiveness for the adjacent lane, and further, added a weighting to reflect particular location and time-dependent effects wherever needed. Nagalur Subraveti et al (2019) improved the Roncoli et al (2015) model by introducing incentive-based weightage, where incentives are density difference, keep-right bias, route, and courtesy. This allows the model to take effects such as lane drop, off-ramp, on-ramp, and compulsory lane changing.…”

Section: Introductionmentioning

confidence: 99%