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Acceleration models for two-wheelers and cars in mixed traffic: effect of unique vehicle-following interactions and driving regimes


Affiliations
1 Department of Civil Engineering, TKM College of Engineering, Kollam 691 005, India, India
2 Transportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India, India
 

Driving behaviour in mixed traffic conditions is chara­cterized by vehicle heterogeneity and lane-less movement. In such traffic conditions, the following response of a vehicle may be discontinuous and gets triggered when certain thresholds on relative speed and spacing with the leaders are crossed. In this context, the present study segments vehicular response into driving regimes using vehicle trajectory data based on relative speed and position. Acceleration models are formulated by featuring driving regimes and their interactions with mixed traffic attributes. These models are used to study the differences in the following behaviour of two-wheelers and cars. The proposed models capture the asymmetric behaviour and account for differences across driving regimes, resulting in a signi­ficantly better fit and realistic representation of mixed traffic.

Keywords

Acceleration Models, Driving Regimes, Mixed Traffic Attributes, Local Area Concentration, Vehicle Trajectory Extraction
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  • Acceleration models for two-wheelers and cars in mixed traffic: effect of unique vehicle-following interactions and driving regimes

Abstract Views: 281  |  PDF Views: 120

Authors

Kavitha Madhu
Department of Civil Engineering, TKM College of Engineering, Kollam 691 005, India, India
Karthik K. Srinivasan
Transportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India, India
R. Sivanandan
Transportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India, India

Abstract


Driving behaviour in mixed traffic conditions is chara­cterized by vehicle heterogeneity and lane-less movement. In such traffic conditions, the following response of a vehicle may be discontinuous and gets triggered when certain thresholds on relative speed and spacing with the leaders are crossed. In this context, the present study segments vehicular response into driving regimes using vehicle trajectory data based on relative speed and position. Acceleration models are formulated by featuring driving regimes and their interactions with mixed traffic attributes. These models are used to study the differences in the following behaviour of two-wheelers and cars. The proposed models capture the asymmetric behaviour and account for differences across driving regimes, resulting in a signi­ficantly better fit and realistic representation of mixed traffic.

Keywords


Acceleration Models, Driving Regimes, Mixed Traffic Attributes, Local Area Concentration, Vehicle Trajectory Extraction

References





DOI: https://doi.org/10.18520/cs%2Fv122%2Fi12%2F1441-1450