An improved car-following model considering influence of other factors on traffic jam
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Publication:1786013
DOI10.1016/j.physleta.2012.10.005zbMath1396.90019OpenAlexW1965915034MaRDI QIDQ1786013
Xiang-pei Meng, Hong-Xia Ge, Jian Ma, Siu-Ming Lo
Publication date: 24 September 2018
Published in: Physics Letters. A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physleta.2012.10.005
Related Items (14)
Empirical evidence and stability analysis of the linear car-following model with gamma-distributed memory effect ⋮ Analysis of drivers' characteristics on continuum model with traffic jerk effect ⋮ A feedback control method with consideration of the next-nearest-neighbor interactions in a lattice hydrodynamic model ⋮ Analysis of traffic flow based on car-following theory: a cyber-physical perspective ⋮ An extended car-following model considering driver's sensory memory and the backward looking effect ⋮ A macro traffic flow model accounting for road capacity and reliability analysis ⋮ A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect ⋮ Prediction of traffic convective instability with spectral analysis of the Aaw-Rascle-Zhang model ⋮ Stability analysis of a general nonlinear car-following model ⋮ Analyses of self-stabilizing control strategy effect in macroscopic traffic model by utilizing historical velocity data ⋮ A heterogeneous traffic flow model consisting of two types of vehicles with different sensitivities ⋮ Propagating properties of traffic flow on a ring road without ramp ⋮ The velocity difference control signal for two-lane car-following model ⋮ State transition-based novel dynamic control algorithm for vehicle-following performance improvement
Cites Work
- A new car-following model with consideration of roadside memorial
- Decentralized delayed-feedback control of an optimal velocity traffic model
- A dynamical model of car-following with the consideration of the multiple information of preceding cars
- Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference
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