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Framework for simulation-based lane change control for autonomous vehicles

https://doi.org/10.1109/ivs.2017.7995799
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4419-0820-9_6openalex-snapshot
Understanding Stop-and-go Traffic in View of Asymmetric Traffic Theory
inferredcites →https://doi.org/10.1016/0191-2615(94)00022-ropenalex-snapshot
The cell transmission model, part II: Network traffic
inferredcites →https://doi.org/10.1016/0191-2615(94)90002-7openalex-snapshot
The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory
inferredcites →https://doi.org/10.1016/j.eswa.2015.03.022openalex-snapshot
Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system
inferredcites →https://doi.org/10.1016/j.trb.2005.04.003openalex-snapshot
Lane-changing in traffic streams
inferredcites →https://doi.org/10.1016/j.trc.2015.11.008openalex-snapshot
Hierarchical model predictive control for multi-lane motorways in presence of Vehicle Automation and Communication Systems
inferredcites →https://doi.org/10.1016/s0191-2615(00)00043-6openalex-snapshot
A behavioral theory of multi-lane traffic flow. Part II: Merges and the onset of congestion
inferredcites →https://doi.org/10.1016/s0191-2615(96)00032-xopenalex-snapshot
A simple physical principle for the simulation of freeways with special lanes and priority vehicles
inferredcites →https://doi.org/10.1016/s0191-2615(98)00023-xopenalex-snapshot
Some traffic features at freeway bottlenecks
inferredcites →https://doi.org/10.1061/(asce)0733-947x(2005)131:6(397)openalex-snapshot
Empirical Study of Traffic Features at a Freeway Lane Drop
inferredcites →https://doi.org/10.1108/9780585474601-022openalex-snapshot
Moving Bottlenecks: A Theory Grounded on Experimental Observation
inferredcites →https://doi.org/10.1109/itsc.2014.6957843openalex-snapshot
Autonomous lane-change controller via mixed logical dynamical
inferredcites →https://doi.org/10.1109/itsc.2016.7795800openalex-snapshot
Optimal lane-changing control at motorway bottlenecks
inferredcites →https://doi.org/10.1109/ivs.2013.6629638openalex-snapshot
Strategic decision making for automated driving on two-lane, one way roads using model predictive control
inferredcites →https://doi.org/10.1109/ivs.2015.7225839openalex-snapshot
General behavior and motion model for automated lane change
inferredcites →https://doi.org/10.1109/tits.2008.922880openalex-snapshot
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
inferredcites →https://doi.org/10.1109/tits.2013.2285337openalex-snapshot
Modeling Mandatory Lane Changing Using Bayes Classifier and Decision Trees
inferredcites →https://doi.org/10.1109/tits.2016.2616493openalex-snapshot
Combined Variable Speed Limit and Lane Change Control for Highway Traffic
inferredcites →https://doi.org/10.3141/2088-08openalex-snapshot
Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation

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.4147616openalex-extracted
Cooperative Trajectory Control for Synchronizing the Movement of Two Connected and Autonomous Vehicles Separated in a Mixed Traffic Flow
inferred← citeshttps://doi.org/10.1007/978-3-030-41418-4_14openalex-snapshot
Formal Specification and Model Checking of a Ride-sharing System in Maude
inferred← citeshttps://doi.org/10.1016/j.physa.2023.129454openalex-snapshot
The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.trb.2021.10.006openalex-snapshot
Hybrid MPC System for Platoon based Cooperative Lane change Control Using Machine Learning Aided Distributed Optimization
inferred← citeshttps://doi.org/10.1080/15472450.2025.2597739openalex-snapshot
A deep reinforcement learning lane-changing model for autonomous vehicles during unexpected lane blockages
inferred← citeshttps://doi.org/10.1109/idap.2018.8620826openalex-snapshot
A survey of Automotive Driving Assistance Systems technologies
inferred← citeshttps://doi.org/10.1109/ivs.2018.8500651openalex-snapshot
Decision - making of Lane Change Behavior Based on RCS for Automated Vehicles in the Real Environment
inferred← citeshttps://doi.org/10.1109/sm63044.2024.10732898openalex-snapshot
Improving Traffic Safety and Efficiency with Multi-Objective Lane Change Assistance
inferred← citeshttps://doi.org/10.1109/tits.2023.3340881openalex-snapshot
Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds
inferred← citeshttps://doi.org/10.1177/14644193211024800openalex-snapshot
A novel adaptive lane change method in transient dynamic traffic conditions for highly automated vehicles
inferred← citeshttps://doi.org/10.48550/arxiv.2111.07489openalex-snapshot
Deep Learning based Urban Vehicle Trajectory Analytics
inferred← citeshttps://doi.org/10.7307/ptt.v32i5.3524openalex-snapshot
Modelling of Driver and Pedestrian Behaviour – A Historical Review
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