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Grouping Mechanism of Various Types of Vehicles in Heterogeneous Vehicular Traffic

https://doi.org/10.2139/ssrn.4972628
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/atr.182openalex-extracted
Heavy commercial vehicles‐following behavior and interactions with different vehicle classes
inferredcites →https://doi.org/10.1007/11430919_74openalex-extracted
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data
inferredcites →https://doi.org/10.1007/978-3-030-55973-1_66openalex-extracted
Response Time and Deceleration Affected by Lateral Shift of Leaders in Vehicular Traffic with Weak Lane Discipline
inferredcites →https://doi.org/10.1016/j.amc.2015.10.032openalex-extracted
Modeling and simulation of the car-truck heterogeneous traffic flow based on a nonlinear car-following model
inferredcites →https://doi.org/10.1016/j.jtte.2017.12.002openalex-extracted
Modelling behavioural interactions of drivers' in mixed traffic conditions
inferredcites →https://doi.org/10.1016/j.jtte.2019.01.007openalex-extracted
Impact of next-nearest leading vehicles on followers' driving behaviours and traffic stability in mixed traffic
inferredcites →https://doi.org/10.1016/j.physa.2009.12.015openalex-extracted
Methods for measuring pedestrian density, flow, speed and direction with minimal scatter
inferredcites →https://doi.org/10.1016/j.physa.2016.05.005openalex-extracted
An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic
inferredcites →https://doi.org/10.1016/j.physa.2017.04.136openalex-extracted
Dependence of driving characteristics upon follower–leader combination
inferredcites →https://doi.org/10.1016/j.physa.2018.05.086openalex-extracted
Self-driven particle model for mixed traffic and other disordered flows
inferredcites →https://doi.org/10.1016/j.physa.2021.125789openalex-extracted
Detection of leader–follower combinations frequently observed in mixed traffic with weak lane-discipline
inferredcites →https://doi.org/10.1080/01441647.2017.1317049openalex-extracted
Modelling of motorised two-wheelers: a review of the literature
inferredcites →https://doi.org/10.1103/physreve.55.2203openalex-extracted
Car-following model of multispecies systems of road traffic
inferredcites →https://doi.org/10.1109/icapr.2015.7050677openalex-extracted
Identifying social groups in pedestrian crowd videos
inferredcites →https://doi.org/10.1109/tpami.2011.176openalex-extracted
Vision-Based Analysis of Small Groups in Pedestrian Crowds
inferredcites →https://doi.org/10.1109/tpami.2015.2470658openalex-extracted
Socially Constrained Structural Learning for Groups Detection in Crowd
inferredcites →https://doi.org/10.11175/easts.9.1644openalex-extracted
Evaluation of Spatial Motorcycle Segregation at Isolated Signalized Intersections Considering Traffic Flow Conditions
inferredcites →https://doi.org/10.1371/journal.pone.0223656openalex-extracted
Identification of social relation within pedestrian dyads
inferredcites →https://doi.org/10.3141/2561-11openalex-extracted
Car-Following and Lane-Changing Behavior Involving Heavy Vehicles:
inferredcites →https://doi.org/10.3390/s130100875openalex-extracted
Deciphering the Crowd: Modeling and Identification of Pedestrian Group Motion

What points at this work

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inferred← citeshttps://doi.org/10.1051/epjconf/202533403001openalex-snapshot
The influence of vehicle type composition on heterogeneous traffic flow
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