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Re: [sumo-user] CAVs Vehicle's simulation

Hi Everyone,

I am working on a project that involves simulating five passenger vehicles with different colors on four routes. I want to generate the acceleration of each vehicle at each time step. The vehicles have the following specifications:

-  one yellow and one green color vehicle starts from route 1 and travels via route 2 and 3 to reach route 4.

- One green and one red vehicle starts from route 2 and travels via route 3 to reach Route 4.

- One magnetic vehicle starts from route 3 and reaches route 4 directly.

However, I encountered some problems with my Python TraCI code and it could not run the simulation. I have attached the code for your reference. I would appreciate any assistance or suggestions from you. Thank you.


On Sun, Oct 15, 2023 at 1:53 AM Jerry C via sumo-user <sumo-user@xxxxxxxxxxx> wrote:
Hello Simon, 

Have you considered using TraCI API? You can use Python to access TraCI-specific functions which you can use to collect acceleration data at every timestep. You can access TraCI documentation (including simple applications) here. For more specific commands, you can find a list here and here.

A simple command for accessing the acceleration would look something like:

accel = traci.vehicle.getAcceleration(veh_id)

Alternatively, you can choose to subscribe to each vehicle upon injection into the network (info for variable subscription)

You can save the accel value into a dictionary with a key for each veh_id and use matplotlib to create your profile. 

Hope that this helps.

Jerry

On Sat, Oct 14, 2023 at 1:57 PM Simon Hailemichael via sumo-user <sumo-user@xxxxxxxxxxx> wrote:

Hello Everyone,

I am a new user of SUMO software and I am interested in simulating the traffic flow of fully Connected and Automated Vehicles by adjusting the IDM model parameters. I want to generate acceleration profiles for each vehicle in the simulation. Does anyone have any suggestions or references for this task? I would appreciate any help or guidance. Thank you


--
Simon Michael 
Road and Transport Engineer



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--
Simon Michael 
Road and Transport Engineer



import traci
# Start connection with SUMO
traci.start(["sumo", "-c", "C:\\Users\\pro\\OneDrive\\Desktop\\sumo\\new17.sumocfg"])
# Define the routes and their corresponding vehicle colors
routes = ['route1', 'route2', 'route3']
colors = [['yellow', 'green'], ['green', 'red'], ['magenta']]
# Define the routes for each vehicle
routes = ['route1', 'route2', 'route3', 'route4']
vehicle_routes = [['route1', 'route2', 'route3', 'route4'],  # Route for yellow vehicle
    ['route1', 'route2', 'route3', 'route4'],  # Route for first green vehicle
    ['route2', 'route3', 'route4'],  # Route for second green vehicle
    ['route2', 'route3', 'route4'],  # Route for red vehicle
    ['route3', 'route4']  # Route for magenta vehicle]
# Add vehicles and set their routes
for i in range(5):
    vehicle_id = f'vehicle{i+1}'
    traci.vehicle.add(vehicle_id, vehicle_routes[i][0])
    traci.vehicle.setColor(vehicle_id, colors[i])
    for route in vehicle_routes[i][1:]:
        traci.vehicle.appendDrivingStage(vehicle_id, route, traci.constants.STAGE_DRIVING)

# Print acceleration of each vehicle at every time step
    for vehicle_id in traci.vehicle.getIDList():
        acceleration = traci.vehicle.getAcceleration(vehicle_id)
        print(f'Acceleration of {vehicle_id} at time step {step}: {acceleration}')

# Python code to calculate acceleration of a vehicle
# at each time step.

def calculate_acceleration(speed1, speed2, time1, time2):
    """Calculate the acceleration of a vehicle at a given time step.
    Parameters:
    speed1 (float): The speed of the vehicle at the first time point.
    speed2 (float): The speed of the vehicle at the second time point.
    time1 (float): The first time point.
    time2 (float): The second time point.
    
    Returns:
    float: The acceleration of the vehicle at the given time step.
    """
    acceleration = (speed2 - speed1) / (time2 - time1)
    return acceleration
# test the function
speed = 50 # in km/h
distance = 100 # in meters
acceleration = calculate_acceleration(speed, distance)
print(f'Acceleration of the vehicle: {acceleration} m/s^2')
for step in range(1000):
    traci.simulationStep()
    for vehicle_id in traci.vehicle.getIDList():
        acceleration = traci.vehicle.getAcceleration(vehicle_id)
        print(f'Acceleration of {vehicle_id} at time step {step}: {acceleration}')
traci.close()

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