Traffic-Simulation

Incorporated from https://github.com/BilHim/trafficSimulator and https://github.com/gigahidjrikaaa/Traffic-Simulation.

A traffic flow simulation using a microscopic model called Intelligent-Driver Model, implemented using Python with the Pygame module. The related original authors' fantastic articles can be found: https://towardsdatascience.com/simulating-traffic-flow-in-python-ee1eab4dd20f and https://muddy-vulture-d01.notion.site/The-Modelling-of-Simpang-Empat-Pingit-Crossroad-a7f1a8adf0d44317aebff998149494b9?pvs=25.

How To Run?

• Using conda for env separation: conda create -name roadsim python=3.10
• conda activate roadsim
• Then run these to download dependencies:

  pip install numpy
  pip install pygame
  pip install scipy
  

• Final step, python simp_main.py will run the 2-lane version; python main.py will run the three-lane version.

Parameter tuning:

(will use simp_main.py as an example, main.py is the same)

• Adjust vehicle generation rate by setting VEHICLE_RATE in simp_main.py
• Adjust simulation speed-up by setting STEPS_PER_UPDATE in simp_main.py
• Adjust traffic signal cycle (s) by setting self.cycle_length in traffic_signal.py
• Adjust vehicle average speed, starting acceleration and braking acceleration by setting self.v_max, self.a_max and self.b_max respectively in vehicle.py