Speed or spacing? Cumulative variables, and convolution of model errors and time in traffic flow models validation and calibration

By Vincenzo Punzo, Marcello Montanino. 2016

95 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/e5f29d066565ed777c8153b7c585885d308f77da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Yinhai Wang
2. Meixin Zhu
3. X. Wang

In Control and Systems Engineering

1. Yinhai Wang
2. Meixin Zhu
3. X. Wang
4. Szilárd Aradi

In Transportation

1. Yinhai Wang
2. Meixin Zhu
3. X. Wang

Citations in the corpus

• Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning (2018, methodology): “At each learning step, the weight coefficients of the critic network were updated using the stochastic gradient descent algorithm in order to minimize the loss function .”