Modelling vehicular behaviour using trajectory data under non-lane based heterogeneous traffic conditions

Hari Krishna GADDAM; K. Ramachandra RAO

doi:10.5604/01.3001.0014.0211

Authors

Hari Krishna GADDAM Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India Author https://orcid.org/0000-0002-8878-713X
K. Ramachandra RAO Indian Institute of Technology Delhi, Department of Civil Engineering, Hauz Khas, New Delhi, India Author https://orcid.org/0000-0002-7229-519X

DOI:

https://doi.org/10.5604/01.3001.0014.0211

Keywords:

non-lane discipline, heterogeneous traffic, vehicle trajectories, lateral separation distance, frictional clearance

Abstract

The present study aims to understand the interaction between different vehicle classes using various vehicle attributes and thereby obtain useful parameters for modelling traffic flow under non-lane based heterogeneous traffic conditions. To achieve this, a separate coordinate system has been developed to extract relevant data from vehicle trajectories. Statistical analysis results show that bi-modal and multi-modal distributions are accurate in representing vehicle lateral placement behaviour. These distributions help in improving the accuracy of microscopic simulation models in predicting vehicle lateral placement on carriageway. Vehicles off-centeredness behaviour with their leaders have significant impact on safe longitudinal headways which results in increasing vehicular density and capacity of roadway. Another interesting finding is that frictional clearance distance between vehicles influence their passing speed. Analysis revealed that the passing speeds of the fast moving vehicles such as cars are greatly affected by the presence of slow moving vehicles. However, slow moving vehicles does not reduce their speeds in the presence of fast moving vehicles. It is also found that gap sizes accepted by different vehicle classes are distributed according to Weibull, lognormal and 3 parameter log logistic distributions. Based on empirical observations, the study proposed a modified lateral separation distance factor and frictional resistance factor to model the non-lane heterogeneous traffic flow at macro level. It is anticipated that the outcomes of this study would help in developing a new methodology for modelling non-lane based heterogeneous traffic.

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