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https://doi.org/10.5204/thesis...
Doctoral thesis . 2019 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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https://eprints.qut.edu.au/129...
Doctoral thesis
License: CC BY NC ND
Data sources: UnpayWall
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Microscopic Modelling of the Area-Based Traffic Flow

Authors: Sarkar, Nikhil Chandra;

Microscopic Modelling of the Area-Based Traffic Flow

Abstract

Area-based (i.e., non-lane based) heterogeneous traffic (as in developing countries) differs significantly from lane-based homogeneous traffic (as in developed countries). In area-based traffic, drivers generally ignore the lane markings and perceive the entire road space while progressing longitudinally. Traditional car-following and lane-changing models are not directly applicable to modelling such driving behaviour. This research aimed to microscopically model the dynamic of the subject vehicle in area-based traffic flow. The modelling was conducted in two steps. In Step 1, discrete choice-based modelling was conducted to identify the area-based movement direction of the subject vehicle. In Step 2, a vehicle-following behaviour model was developed to simulate the next position of the subject vehicle (along the direction of a selected alternative, as modelled in Step 1 of this modelling). The macroscopic validation of the model was performed to ensure the robustness of the model.

Country
Australia
Related Organizations
Keywords

microscopic modelling, confusion matrix, heterogeneous traffic, modified IDM, 380, lane-changing model, area-based traffic, Angle-based discretization, car-following model, macroscopic characteristics, multinomial logit model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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hybrid