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 <[email protected]>
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. <https://sumo.dlr.de/docs/TraCI.html> For more
> specific commands, you can find a list here
> <https://sumo.dlr.de/docs/TraCI/Vehicle_Value_Retrieval.html> and here
> <https://sumo.dlr.de/pydoc/traci._vehicle.html#VehicleDomain>.
>
> 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
> <https://sumo.dlr.de/docs/TraCI/Object_Variable_Subscription.html>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 <
> [email protected]> 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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>>
> _______________________________________________
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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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