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Table 3 Main simulation parameters

From: A Combined Reinforcement Learning and Model Predictive Control for Car-Following Maneuver of Autonomous Vehicles

Parameters

Symbols

Value

System initial conditions

\(MPC\_\rho\)

0.01

Control horizon \(N_{c}\)

10

Predicted horizon \(N_{p}\)

30

Episode number \(N\)

120000

Sampling time \(T\) (s)

0.1

Track length (timestep)

750

System constrains

Input variable (m/s2)

\(- 4 \le u(k) \le 3\)

Velocity \(v\) (m/s2)

\(0 \le v(k) \le 20\)

Acceleration \(a\) (m/s2)

\(- 4 \le a(k) \le 3\)

Vehicle jerk \(j\) (m/s2)

\(- 3 \le j(k) \le 3\)

Relaxation factor \(\varepsilon\)

\(0 \le \varepsilon \le 0.02\)