Multiple leaders and their spatial orientations - An empirical approach in modelling vehicle-following behaviour under mixed traffic condition.

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Title: Multiple leaders and their spatial orientations - An empirical approach in modelling vehicle-following behaviour under mixed traffic condition.
Authors: Madhu, K.1 karthikks@iitm.ac.in, Srinivasan, K. K.1 kavithamadhu03@gmail.com, Sivanandan, R.1 rsiva@civil.iitm.ac.in
Source: Advances in Transportation Studies. Nov2025, Vol. 67, p67-84. 18p.
Subjects: Motor vehicle driving, Spatial orientation, Traffic patterns, Traffic flow
Abstract: Acceleration models are an integral part of microscopic traffic simulation models. Most of the established acceleration models in the literature have typically considered the response of a follower based on the stimulus from a single distinct leader in the front. But under weak lane disciplined conditions, it is common to observe multiple leaders ahead of a subject vehicle, thereby leading to multiple stimulus sources. To accommodate this condition, the study formulates longitudinal acceleration models when multiple leaders are present by modifying the conventional response-stimulus model. These models are developed based on trajectory data from which information is derived about the presence and positions of multiple leaders and their static and dynamic characteristics that influence the response of the follower. The response under multiple and single leader scenarios are evaluated. Further, the influence of the spatial orientation of leading vehicles in relation to the subject vehicle is also investigated. The differences in driving behaviour of the two major constituents in the mixed traffic stream considered, namely, two-wheeler (TW) and car are compared and contrasted under single and multiple leader scenarios. The results show that the multiple leaders have a significant influence on the follower's driving decisions that are distinct from the influence of single leader conditions. The proposed model enhances the realism of modelling scheme for mixed traffic behaviour with potential applications. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Transportation+Studies%22">Advances in Transportation Studies</searchLink>. Nov2025, Vol. 67, p67-84. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+orientation%22">Spatial orientation</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+patterns%22">Traffic patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+flow%22">Traffic flow</searchLink>
– Name: Abstract
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  Data: Acceleration models are an integral part of microscopic traffic simulation models. Most of the established acceleration models in the literature have typically considered the response of a follower based on the stimulus from a single distinct leader in the front. But under weak lane disciplined conditions, it is common to observe multiple leaders ahead of a subject vehicle, thereby leading to multiple stimulus sources. To accommodate this condition, the study formulates longitudinal acceleration models when multiple leaders are present by modifying the conventional response-stimulus model. These models are developed based on trajectory data from which information is derived about the presence and positions of multiple leaders and their static and dynamic characteristics that influence the response of the follower. The response under multiple and single leader scenarios are evaluated. Further, the influence of the spatial orientation of leading vehicles in relation to the subject vehicle is also investigated. The differences in driving behaviour of the two major constituents in the mixed traffic stream considered, namely, two-wheeler (TW) and car are compared and contrasted under single and multiple leader scenarios. The results show that the multiple leaders have a significant influence on the follower's driving decisions that are distinct from the influence of single leader conditions. The proposed model enhances the realism of modelling scheme for mixed traffic behaviour with potential applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.53136/97912218219495
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 67
    Subjects:
      – SubjectFull: Motor vehicle driving
        Type: general
      – SubjectFull: Spatial orientation
        Type: general
      – SubjectFull: Traffic patterns
        Type: general
      – SubjectFull: Traffic flow
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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