State transition-based novel dynamic control algorithm for vehicle-following performance improvement
DOI10.1016/J.APM.2022.06.004zbMath1505.90036OpenAlexW4281628093WikidataQ113880193 ScholiaQ113880193MaRDI QIDQ2110037
Publication date: 21 December 2022
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2022.06.004
hyperbolic functionsynchronous controlstate transitionbehavior adjustmentgeneralized velocity difference controlsafe following distancevehicle-following control
Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Traffic problems in operations research (90B20)
Cites Work
- Unnamed Item
- A new car-following model with the consideration of the driver's forecast effect
- A new dynamic model for heterogeneous traffic flow
- An improved car-following model considering influence of other factors on traffic jam
- Modeling the asymmetry in traffic flow. I: Microscopic approach
- Modeling the asymmetry in traffic flow. II: Macroscopic approach
- A new car-following model with consideration of roadside memorial
- Optimal velocity difference model for a car-following theory
- A novel car-following inertia gray model and its application in forecasting short-term traffic flow
- An extended car-following model considering driver's sensory memory and the backward looking effect
- Density waves in car-following model for autonomous vehicles with backward looking effect
- A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect
This page was built for publication: State transition-based novel dynamic control algorithm for vehicle-following performance improvement
