On the public citation graph
Car-Following and Lane-Changing Behavior Involving Heavy Vehicles:
0 signed · 52 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.trb.2004.06.002openalex-snapshot
Behavior-based analysis of freeway car–truck interactions and related mitigation strategies
inferredcites →https://doi.org/10.1016/j.trb.2009.07.009openalex-snapshot
From heterogeneous drivers to macroscopic patterns in congestion
inferredcites →https://doi.org/10.1016/j.trb.2010.08.002openalex-snapshot
Applications of wavelet transform for analysis of freeway traffic: Bottlenecks, transient traffic, and traffic oscillations
inferredcites →https://doi.org/10.1016/j.trb.2012.01.009openalex-snapshot
A behavioral car-following model that captures traffic oscillations
inferredcites →https://doi.org/10.1016/j.trb.2012.07.002openalex-snapshot
Microscopic traffic hysteresis in traffic oscillations: A behavioral perspective
inferredcites →https://doi.org/10.1016/j.trb.2013.11.005openalex-snapshot
On the periodicity of traffic oscillations and capacity drop: The role of driver characteristics
inferredcites →https://doi.org/10.1016/j.trb.2015.06.010openalex-snapshot
Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns
inferredcites →https://doi.org/10.1016/j.trc.2010.05.006openalex-snapshot
Heterogeneity in car-following behavior: Theory and empirics
inferredcites →https://doi.org/10.1016/j.trc.2010.12.007openalex-snapshot
On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
inferredcites →https://doi.org/10.1016/s0191-2615(00)00044-8openalex-snapshot
A simplified car-following theory: a lower order model
inferredcites →https://doi.org/10.1061/(asce)te.1943-5436.0000463openalex-snapshot
Understanding the Dynamics of Heavy Vehicle Interactions in Car-Following
inferredcites →https://doi.org/10.1098/rsta.2010.0138openalex-snapshot
A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic
inferredcites →https://doi.org/10.1103/physreve.53.r4275openalex-snapshot
Experimental properties of complexity in traffic flow
inferredcites →https://doi.org/10.1103/physreve.62.1805openalex-snapshot
Congested traffic states in empirical observations and microscopic simulations
inferredcites →https://doi.org/10.1108/9780585474601-032openalex-snapshot
Freeway Traffic Oscillations: Observations And Predictions
inferredcites →https://doi.org/10.1111/j.1467-8667.2010.00675.xopenalex-snapshot
Passing Rates to Measure Relaxation and Impact of Lane‐Changing in Congestion
inferredcites →https://doi.org/10.3141/1867-03openalex-snapshot
Another View of Truck Lane Restrictions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4972628openalex-extracted
Grouping Mechanism of Various Types of Vehicles in Heterogeneous Vehicular Traffic
inferred← citeshttps://doi.org/10.1007/s12239-025-00328-3openalex-snapshot
Modeling Truck Lane Change Behavior on Highways Using a Hierarchical Reinforcement Learning Framework
inferred← citeshttps://doi.org/10.1016/j.amar.2025.100388openalex-snapshot
Autonomous vehicle lane-changing dynamics and impact on the immediate follower
inferred← citeshttps://doi.org/10.1016/j.jtte.2019.01.007openalex-snapshot
Impact of next-nearest leading vehicles on followers' driving behaviours and traffic stability in mixed traffic
inferred← citeshttps://doi.org/10.1016/j.physa.2017.04.136openalex-snapshot
Dependence of driving characteristics upon follower–leader combination
inferred← citeshttps://doi.org/10.1016/j.physa.2020.125329openalex-snapshot
Modeling cars and trucks in the heterogeneous traffic based on car–truck combination effect using cellular automata
inferred← citeshttps://doi.org/10.1016/j.physa.2025.131032openalex-snapshot
Grouping mechanisms of vehicles in heterogeneous traffic with weak lane discipline: A single-site observational study focusing on leader–follower relations
inferred← citeshttps://doi.org/10.1016/j.physa.2026.131866openalex-snapshot
Effect of vehicle groups on heterogeneous disordered traffic flow
inferred← citeshttps://doi.org/10.1016/j.tra.2020.12.017openalex-snapshot
Effects of bicycle passing distance law on drivers’ behavior
inferred← citeshttps://doi.org/10.1016/j.trb.2017.11.007openalex-snapshot
Stochastic modeling of breakdown at freeway merge bottleneck and traffic control method using connected automated vehicle
inferred← citeshttps://doi.org/10.1016/j.trc.2020.02.016openalex-snapshot
Trajectory data-based traffic flow studies: A revisit
inferred← citeshttps://doi.org/10.1016/j.trc.2024.104929openalex-snapshot
A human factors-based modeling framework to mimic bus driver behavior
inferred← citeshttps://doi.org/10.1016/j.trd.2020.102692openalex-snapshot
Modification of Newell’s car-following model incorporating multidimensional stochastic parameters for emission estimation
inferred← citeshttps://doi.org/10.1016/j.trd.2025.105044openalex-snapshot
Energy impacts of heavy vehicles in cooperative highway merging areas
inferred← citeshttps://doi.org/10.1016/j.trf.2025.03.020openalex-snapshot
Interferences between driver safety perception and driving behaviour: Hybrid attitudinal survey and driving simulator study for hazard scenarios on urban expressway
inferred← citeshttps://doi.org/10.1016/j.trf.2025.04.029openalex-snapshot
Analysis of driver Lane-Changing behavior under the influence of truck platoons at highway Exits: A driving simulation study
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101368openalex-snapshot
Empirical research on car-following and lane-changing: Recent developments, emerging vehicle technologies’ impact, and future research needs
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5303openalex-snapshot
Calibration of Gipps’ car‐following model for trucks and the impacts on fuel consumption estimation
inferred← citeshttps://doi.org/10.1061/jtepbs.0000771openalex-snapshot
Comparative Univariate and Regression Survival Analysis of Lane-Changing Duration Characteristic for Heavy Vehicles and Passenger Cars
inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-9273openalex-snapshot
Driver Merging and Lane Utilization Behavior under Zipper Merge Lane Control
inferred← citeshttps://doi.org/10.1080/19439962.2025.2594509openalex-snapshot
Analyzing lane-changing characteristics when interacting with different current-lane preceding vehicles
inferred← citeshttps://doi.org/10.1080/21680566.2019.1630689openalex-snapshot
Multi-class traffic flow on a partially space-shared road
inferred← citeshttps://doi.org/10.1080/21680566.2019.1710002openalex-snapshot
Car-following characteristics of various vehicle types in respective driving phases
inferred← citeshttps://doi.org/10.1109/jas.2022.106049openalex-snapshot
Probabilistic Lane-Change Decision-Making and Planning for Autonomous Heavy Vehicles
inferred← citeshttps://doi.org/10.1109/tits.2019.2891314openalex-snapshot
Variable Speed Release (VSR): Speed Control to Increase Bottleneck Capacity
inferred← citeshttps://doi.org/10.1109/tiv.2023.3234253openalex-snapshot
Formulating Vehicle Aggressiveness Towards Social Cognitive Autonomous Driving
inferred← citeshttps://doi.org/10.1145/3341325.3341996openalex-snapshot
Multiple Lane Road Car-Following Model using Bayesian Reasoning for Lane Change Behavior Estimation
inferred← citeshttps://doi.org/10.1177/0361198120927696openalex-snapshot
Analysis and Control of Heterogeneous Connected and Autonomous Vehicles using a Spring-Mass-Damper System
inferred← citeshttps://doi.org/10.1177/03611981231156587openalex-snapshot
Adaptive Headway Control Algorithm for Mixed-Traffic Stabilization and Optimization with Automated Cars and Trucks
inferred← citeshttps://doi.org/10.2139/ssrn.6282939openalex-snapshot
Effect of vehicle groups on heterogeneous disordered traffic flow
inferred← citeshttps://doi.org/10.28991/cej-03091202openalex-snapshot
Studying Non-coaxiality in Non-lane-based Car-following Behavior
inferred← citeshttps://doi.org/10.3390/jsan9040052openalex-snapshot
Fault Detection Based on Parity Equations in Multiple Lane Road Car-Following Models Using Bayesian Lane Change Estimation
inferred← citeshttps://doi.org/10.5507/tots.2024.005openalex-snapshot
Exploring Lane Changing Dynamics: A Comprehensive Review of Modeling Approaches, Traffic Impacts, and Future Directions in Traffic Engineering Research
inferred← citeshttps://doi.org/10.70675/fb72ec71z4ce2z4856z9b3azf3a6546fae61openalex-snapshot
Consideration of dynamic traffic conditions in the estimation of industrial vehicules energy consumption while integrating driving assistance strategies
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.