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Real time adaptive cruise control strategy for motorways

https://doi.org/10.1016/j.trc.2020.102617
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What this work says

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

inferredcites →https://doi.org/10.1016/j.cnsns.2013.02.007openalex-snapshot
Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach
inferredcites →https://doi.org/10.1016/j.ifacol.2019.08.139openalex-snapshot
Feedback Control of Freeway Traffic Flow via Time-Gap Manipulation of ACC-Equipped Vehicles: A PDE-Based Approach
inferredcites →https://doi.org/10.1016/j.physa.2009.02.040openalex-snapshot
Continuum modeling of cooperative traffic flow dynamics
inferredcites →https://doi.org/10.1016/j.sbspro.2011.04.434openalex-snapshot
Countermeasure Strategies against Traffic Congestion on Motorways in Japan
inferredcites →https://doi.org/10.1016/j.trc.2007.12.004openalex-snapshot
Adaptive cruise control design for active congestion avoidance
inferredcites →https://doi.org/10.1016/j.trc.2014.09.001openalex-snapshot
Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data
inferredcites →https://doi.org/10.1016/j.trc.2017.01.003openalex-snapshot
Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment
inferredcites →https://doi.org/10.1016/j.trc.2019.02.021openalex-snapshot
Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulation
inferredcites →https://doi.org/10.1037/e622262011-001openalex-snapshot
Use of Advanced In-Vehicle Technology By Young and Older Early Adopters: Survey Results on Adaptive Cruise Control Systems
inferredcites →https://doi.org/10.1080/18128600903578843openalex-snapshot
Application of gas-kinetic theory to modelling mixed traffic of manual and ACC vehicles
inferredcites →https://doi.org/10.1098/rsta.2010.0084openalex-snapshot
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity
inferredcites →https://doi.org/10.1103/physreve.62.1805openalex-snapshot
Congested traffic states in empirical observations and microscopic simulations
inferredcites →https://doi.org/10.1103/physreve.69.066110openalex-snapshot
Effect of adaptive cruise control systems on traffic flow
inferredcites →https://doi.org/10.1109/itsc.2010.5625133openalex-snapshot
Effects of Cooperative Adaptive Cruise Control on traffic flow stability
inferredcites →https://doi.org/10.1109/itsc.2015.344openalex-snapshot
Macroscopic Modelling and Simulation of ACC and CACC Traffic
inferredcites →https://doi.org/10.1109/itsc.2016.7795576openalex-snapshot
Simulation of the penetration rate effects of ACC and CACC on macroscopic traffic dynamics
inferredcites →https://doi.org/10.1109/itsc.2017.8317635openalex-snapshot
Evaluation of an MPC strategy for motorway traffic comprising connected and automated vehicles
inferredcites →https://doi.org/10.1109/med.2016.7535939openalex-snapshot
Impact of different spacing policies for adaptive cruise control on traffic and energy consumption of electric vehicles
inferredcites →https://doi.org/10.1109/mtits.2019.8883341openalex-snapshot
Estimating empirically the response time of commercially available ACC controllers under urban and freeway conditions
inferredcites →https://doi.org/10.1109/tits.2003.821340openalex-snapshot
Analysis of traffic flow with mixed manual and semiautomated vehicles
inferredcites →https://doi.org/10.1109/tits.2005.844226openalex-snapshot
Evaluation of ACC Vehicles in Mixed Traffic: Lane Change Effects and Sensitivity Analysis
inferredcites →https://doi.org/10.1109/tits.2006.884615openalex-snapshot
The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics
inferredcites →https://doi.org/10.1109/tits.2014.2303577openalex-snapshot
Improving Traffic Flow Efficiency by In-Car Advice on Lane, Speed, and Headway
inferredcites →https://doi.org/10.1109/tits.2016.2552639openalex-snapshot
Highway Traffic State Estimation With Mixed Connected and Conventional Vehicles
inferredcites →https://doi.org/10.1109/tiv.2019.2955368openalex-snapshot
Model-Based String Stability of Adaptive Cruise Control Systems Using Field Data
inferredcites →https://doi.org/10.1177/0361198118796020openalex-snapshot
Adaptive Cruise Control Operation for Improved Motorway Traffic Flow
inferredcites →https://doi.org/10.3141/1748-21openalex-snapshot
Modeling Effects of Driver Control Assistance Systems on Traffic
inferredcites →https://doi.org/10.3141/2324-08openalex-snapshot
Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow
inferredcites →https://doi.org/10.3403/30185314uopenalex-snapshot
Intelligent transport systems. Adaptive cruise control systems. Performance requirements and test procedures
inferredcites →https://doi.org/10.3926/jiem.344openalex-snapshot
Towards reducing traffic congestion using cooperative adaptive cruise control on a freeway with a ramp
inferredcites →https://doi.org/10.4233/uuid:d194ac2a-3176-4550-a5d1-ae231c3a44fdopenalex-snapshot
Capacity Drop on Freeways: Traffic Dynamics, Theory and Modeling
inferredcites →https://doi.org/10.5220/0005621100130019openalex-snapshot
Evaluation and Optimization of Adaptive Cruise Control Policies Via Numerical Simulations

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.4593234openalex-extracted
Discrepancies between Simulated and Real-World Behavior of Autonomous Vehicles in Mixed Traffic: A Calibration and Analysis Study
inferred← citeshttps://doi.org/10.1007/s12239-022-0040-zopenalex-snapshot
Energy-Saving Model Predictive Cruise Control Combined with Vehicle Driving Cycles
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.126039openalex-snapshot
Data-driven co-optimization method of eco-adaptive cruise control for plug-in hybrid electric vehicles considering risky driving behaviors
inferred← citeshttps://doi.org/10.1016/j.energy.2026.140720openalex-snapshot
PMP-based collaborative optimization hybrid heavy-duty truck eco-adaptive cruise control
inferred← citeshttps://doi.org/10.1016/j.ijtst.2025.12.005openalex-snapshot
Adaptive look-ahead driving for enhancing traffic flow performance at urban signalized intersections
inferred← citeshttps://doi.org/10.1016/j.jtte.2020.12.006openalex-snapshot
Safety aware fuzzy longitudinal controller for automated vehicles
inferred← citeshttps://doi.org/10.1016/j.physa.2022.127154openalex-snapshot
Driving strategy of connected and autonomous vehicles based on multiple preceding vehicles state estimation in mixed vehicular traffic
inferred← citeshttps://doi.org/10.1016/j.trc.2021.103305openalex-snapshot
Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems
inferred← citeshttps://doi.org/10.1016/j.trc.2025.105302openalex-snapshot
Ramp metering for lane-free traffic of automated vehicles via ramp vehicle speed control
inferred← citeshttps://doi.org/10.1016/j.trpro.2021.01.042openalex-snapshot
Traffic control algorithms for mixed vehicle traffic – A simulation-based investigation
inferred← citeshttps://doi.org/10.1049/itr2.12092openalex-snapshot
Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model
inferred← citeshttps://doi.org/10.1049/itr2.12492openalex-snapshot
Freeway congestion management on multiple consecutive bottlenecks with RL‐based headway control of autonomous vehicles
inferred← citeshttps://doi.org/10.1093/imamci/dnaf027openalex-snapshot
Event-triggered PDE-based control of freeway traffic flow with connected/automated vehicles
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561021openalex-snapshot
D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning
inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10421835openalex-snapshot
A Limited, Real-World Assessment of Key Autonomous Vehicle Car Following Models
inferred← citeshttps://doi.org/10.1109/jas.2022.105806openalex-snapshot
Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-Control for Intelligent Vehicles
inferred← citeshttps://doi.org/10.1109/mt-its68460.2025.11223549openalex-snapshot
Mitigating Merge Congestion with CCAM Services: A Comparative Study on A56 Italian Motorway
inferred← citeshttps://doi.org/10.1145/3507959.3507961openalex-snapshot
Integrated Target Tracking and Control for Automated Car-Following of Truck Platforms
inferred← citeshttps://doi.org/10.1155/2021/3745989openalex-snapshot
Effect of Adaptive Cruise Control on Mixed Traffic Flow: A Comparison of Constant Time Gap Policy with Variable Time Gap Policy
inferred← citeshttps://doi.org/10.1177/03611981251353183openalex-snapshot
Generative AI-based Adaptive Cruise Control Performance Evaluation in Car-Following Scenarios
inferred← citeshttps://doi.org/10.1177/03611981261436640openalex-snapshot
Discrepancies between Simulated and Real-World Car-Following Behavior of Adaptive Cruise Control Vehicles in Mixed Traffic
inferred← citeshttps://doi.org/10.1177/09544070211029780openalex-snapshot
Binary search tree-based explicit MPC controller design with Kalman filter for vehicular adaptive cruise system
inferred← citeshttps://doi.org/10.1177/09544070231179853openalex-snapshot
Development of adaptive cruising strategy of extended range electric vehicle based on driving behavior
inferred← citeshttps://doi.org/10.3390/act10050090openalex-snapshot
Adaptive Cruise Control System Evaluation According to Human Driving Behavior Characteristics
inferred← citeshttps://doi.org/10.3390/app12020929openalex-snapshot
Adaptive Cruise Control with Look-Ahead Anticipation for Driving on Freeways
inferred← citeshttps://doi.org/10.3390/su18010224openalex-snapshot
Innovative Operational Strategy for Variable Speed Limits Based on AV Spacing Policy Under Mixed Traffic, with a Sustainable Approach
inferred← citeshttps://doi.org/10.3390/vehicles6020047openalex-snapshot
Conceptual Study on Car Acceleration Strategies to Minimize Travel Time, Fuel Consumption, and CO2-CO Emissions
inferred← citeshttps://doi.org/10.4028/p-kpj4h5openalex-snapshot
Simulation of Automatic Speed Control in Motor Vehicles (Cruise Control) Using Simulink PID Controller
inferred← citeshttps://doi.org/10.4271/15-16-03-0013openalex-snapshot
Adaptive Cruise Control Based on a Model Predictive Controller Considering the Driving Behavior of the Front and Rear Vehicles
inferred← citeshttps://doi.org/10.48550/arxiv.2006.01411openalex-snapshot
D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning
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