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Re: [sumo-user] Efficient way to count #vehicles within a distance of junction
Hi Jakob,

Thank you for replying. In terms of E2-Detector, are you suggesting that I put a 20m-long E2-detector on the lane to measure the number of vehicles, or several E2-detectors connected to cover the 20m distance?

Or are you saying putting one normal E2-detector to monitor the flow, but not the number of vehicles in a 20m-long area directly?

Thanks,
Shuyi

On Thu, Jul 26, 2018 at 12:50 AM Jakob Erdmann <namdre.sumo@xxxxxxxxx> wrote:
In my own control scripts I often use explicit list of lanes but you could also use


2018-07-26 9:14 GMT+02:00 Harald Schaefer <haraldschaefer@xxxxxxxxxxx>:
Hi Shuyi,

there are different approaches to control traffic lights depending on the traffic.
One is to look for gaps in the incoming traffic flow (see http://sumo.dlr.de/wiki/Simulation/Traffic_Lights#Improving_Generated_programs_with_knowledge_about_traffic_demand and http://sumo.dlr.de/wiki/Simulation/Traffic_Lights#Actuated_Traffic_Lights)
For your approach see also the discussion recently here about "Locating cars around certain coordinates"

Best regards, Harald


Am 25.07.2018 um 23:43 schrieb Shuyi Yin:
Hi SUMO community,

I'm using TraCI to control traffic lights and would like the traffic light to know the number of cars approaching it. Also, I'm only interested in counting vehicles that are close enough, i.e. within 20 meters.

My current implementation is to get the ID of vehicles on a lane and calculate the distance to the junction. Code is shown as follows. But is there a more efficient way fo doing so?

Thanks,
Shuyi

def numberv(lane):
    nb = 0
    for k in traci.lane.getLastStepVehicleIDs(lane):
        if traci.vehicle.getLanePosition(k) < X-100:
             nb += 1
    return nb



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