Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach
Martin Treiber,Arne Kesting +1 more
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TLDR
Using real and generated floating-car and trajectory data, data requirements and preparation, conceptional approach including local maximum-likelihood and global LSE calibration with several objective functions, influence of the data sampling rate and measuring errors, and the effect of data smoothing on the calibration result are investigated.About:
This article is published in Procedia - Social and Behavioral Sciences.The article was published on 2013-06-07 and is currently open access. It has received 122 citations till now. The article focuses on the topics: Smoothing.read more
Citations
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Capturing Car-Following Behaviors by Deep Learning
TL;DR: A deep neural network-based car-following model that takes the velocities, velocity differences, and position differences that were observed in the last few time intervals as inputs and tries to embed prediction capability or memory effect of human drivers in a natural and efficient way.
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Millimeter Wave Vehicular Communications: A Survey
TL;DR: An overview of mmWave vehicular communication with an emphasis on results on channel measurements, the physical PHY layer, and the medium access control MAC layer is provided, with special attention paid to identifying important topics of future research.
Journal ArticleDOI
A recurrent neural network based microscopic car following model to predict traffic oscillation
TL;DR: A recurrent neural network based microscopic car following model that is able to accurately capture and predict traffic oscillation and has the capability of perfectly re-establishing traffic oscillations and distinguish drivers characteristics is proposed.
References
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Journal ArticleDOI
Congested traffic states in empirical observations and microscopic simulations
TL;DR: It is shown that the results of the microscopic model can be understood by formulating the theoretical phase diagram for bottlenecks in a more general way, and a local drop of the road capacity induced by parameter variations has essentially the same effect as an on-ramp.
Journal ArticleDOI
A behavioural car-following model for computer simulation
TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI
Full velocity difference model for a car-following theory.
TL;DR: This paper presents a full velocity difference model for a car-following theory based on the previous models in the literature, and finds that the model can describe the phase transition of traffic flow and estimate the evolution of traffic congestion.
Journal ArticleDOI
A simplified car-following theory: a lower order model
TL;DR: A very simple “car-following” rule is proposed wherein, if an nth vehicle is following an (n−1)th vehicle on a homogeneous highway, the time-space trajectory of the nth vehicles is essentially the same as the (n −1) fourth vehicle except for a translation in space and in time.
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Congested traffic states in empirical observations and microscopic simulations
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Arne Kesting,Martin Treiber +1 more