Re: [sumo-user] Difference between my rule-based simulation vs. default

[Jakob Erdmann <namdre.sumo@xxxxxxxxx>]

- lane changing decisions aren't random (cars sort themselves onto the lanes based on desired speed)

- successful execution of a lane changing maneuver often requires some form of speed adjustment over multiple steps which fails if you randomly change the desired wish each step.

Am Sa., 17. Sept. 2022 um 20:43 Uhr schrieb Hriday Sanghvi via sumo-user <sumo-user@xxxxxxxxxxx>:

Hello,

I am trying to recreate the same vehicle lane-changing behaviour that SUMO displays when a flow with the following definition:

<flow arrivalLane="current" arrivalPosLat="center" begin="0" departLane="random" departPosLat="center" departSpeed="random" id="f" number="100" route="r0" type="veh" vehsPerHour="10000" />

is allowed to complete their route on a single 1000 m, 3-lane road (edge).

The rolling average of number of vehicles on each lane is almost identical (which is what I would expect) from this simulation:

To recreate the same type of behaviour in my rule-based simulation, I chose left, right or stay with equal probability for each car at every step.

import numpy as np
.
.
.
prob = np.array([1/3, 1/3, 1/3]) # equal probability
action = "" 0, +1], p=prob) # -1 = right, 0 = stay, +1 = left
.
.

traci.vehicle.changeLaneRelative(vehID=veh_id, indexOffset=action, duration=5) # for each vehicle
.
. 

.

...but the behaviour seems to avoid the last lane (lane 2):

 

I tried adding one more lane and I observed the same behaviour - the last lane seems to be avoided: 

My lane change mode is set to LC_MODE = 1557. Is there any possible reason for this? Maybe some interaction of changeLaneRelative with SUMO that is causing this? Please advise.

Thank you.

Sincerely,

Hriday

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