Modeling the impacts of mandatory and discretionary lane-changing maneuvers

Pan, Tianlu; Lam, William H. K.; Sumalee, Agachai; Zhong, Renxin

doi:10.1016/j.trc.2016.05.002

Cited by 67 publications

(43 citation statements)

References 46 publications

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“…Merging, diverging, pre-allocating, anticipating and keeping right require lane changes and gap acceptance. In the literature distinction is made between mandatory lane changes (MLC) and discretionary lane changes (DLC) (Minderhoud 1999;Laval and Daganzo 2006;Kesting et al 2007;Choudhury 2007;Yang and Koutsopoulos 1996;Hill et al 2015;Pan et al 2016). A MLC is executed when a driver must change lane due to a strategic route choice.…”

Section: Mandatory and Discretionary Lane Changesmentioning

confidence: 99%

Driving behaviour at motorway ramps and weaving segments based on empirical trajectory data

Beinum

Farah

Wegman

et al. 2018

Transportation Research Part C: Emerging Technologies

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In the vicinity of ramps, drivers make route choices, change lanes and in most cases also adjust their speeds. This can trigger anticipatory behaviour by the surrounding vehicles, which are also reflected in lane changes and/or changes in speed. This phenomenon is called turbulence and is widely recognised by the scientific literature and various design guidelines. However the knowledge about the characteristics of turbulence is limited. This study investigates the microscopic characteristics of driving behaviour around 14 different on-ramps (3), offramps (3) and weaving segments (8) in The Netherlands, based on unique empirical trajectory data collected from a video camera mounted underneath a hovering helicopter. The data analysis reveals that lane changes caused by merging and diverging vehicles create most turbulence, that an increase in the amount of traffic results in a higher level of turbulence and that an increase in the available length for merging and diverging results in a lower level of turbulence. The results of this study are useful for improving the road design guidelines and for modelling driving behaviour more realistically.

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Section: Mandatory and Discretionary Lane Changesmentioning

confidence: 99%

Driving behaviour at motorway ramps and weaving segments based on empirical trajectory data

Beinum

Farah

Wegman

et al. 2018

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

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“…These models treated the lanes as independent entities and did not aggregate the variables. Pan et al (2016Pan et al ( , 2019 proposed a mesoscopic multilane model to capture the multilane traffic dynamics and extended it to include multiclass mixed traffic of Connected and Automated Vehicles (CAV) and regular vehicles. The mesoscopic model requires the calibration of a number of parameters along with the fundamental diagram (FD) parameters.…”

Section: State-of-the-art On Multi-lane Trafficmentioning

confidence: 99%

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

Subraveti

Knoop

Arem

2019

Transportmetrica B: Transport Dynamics

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“…However, despite its importance in mimicking traffic operations on freeways, among the researchers it did not attain as much attention as the car-following models (for a review see Moridpour et al [9] and Zheng [10]). Rulebased and discrete-choice-based models are the most popular microscopic lane changing algorithms in literature [11]. In rule-based models, considering the heterogeneity among drivers, different gap acceptance conditions have been taken into account.…”

Section: Lane Change Behavior On Multilane Freeways In Order To Quanmentioning

confidence: 99%

Lane Change Behavior on Freeways: An Online Survey Using Video Clips

Knoop

Keyvan‐Ekbatani

Baat

et al. 2018

Journal of Advanced Transportation

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Freeways form an important part of the road network. Yet, driving behavior on freeways, in particular lane changes and the relation with the choice of speed, is not well understood. To overcome this, an online survey has been carried out. Drivers were shown video clips, and after each clip they had to indicate what they would do after the moment the video stopped. A total of 1258 Dutch respondents completed the survey. The results show that most people have a strategy to choose a speed first and stick to that, which is the first strategy. A second, less often chosen, strategy is to choose a desired lane and adapt the speed based on the chosen lane. A third strategy, slightly less frequently chosen, is that drivers have a desired speed, but contrary to the first strategy, they increase this speed when they are in a different lane overtaking another driver. A small fraction have neither a desired speed nor a desired lane. Of the respondents 80% use the right lane if possible, and 80% avoid overtaking at the right. Also 80% give way to merging traffic. The survey was validated by 25 survey respondents also driving an instrumented vehicle. The strategies in this drive were similar to those in the survey. The findings of this work can be implemented in traffic simulation models, e.g., to determine road capacity and constraints in geometric design.

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Modeling the impacts of mandatory and discretionary lane-changing maneuvers

Cited by 67 publications

References 46 publications

Driving behaviour at motorway ramps and weaving segments based on empirical trajectory data

Driving behaviour at motorway ramps and weaving segments based on empirical trajectory data

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

Lane Change Behavior on Freeways: An Online Survey Using Video Clips

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