Thank you Jakob, I think traci.vehicle.subscribeContext() can help. Do you know how the results will be ordered if we subscible downstream vehicles ID within a certain distance? If they are ordered by distance to the reference vehicle, it will definitely save us some efforts.
To get the aggregated values in road cells, I think we can retrieve vehicle position as well, and manually separate them into corresponding cells to get aggregated metrics. Do you have more efficient solutions? Thanks, Hao On October 5, 2020 at 11:21 PM, Jakob Erdmann <[email protected]> wrote: Hello, there is nothing that would give aggregated traffic data around a moving observer. However, you can get disaggregated data in these ways - post-simulation output: --fcd-output with option --device.fcd.radius (only observer should be equipped with an fcd device) - online retrieval: traci.vehicle.subscribeContext https://sumo.dlr.de/docs/TraCI/Interfacing_TraCI_from_Python.html#context_subscriptions - post simulation output if only a portion of the fleet should be observable: https://sumo.dlr.de/docs/Simulation/Bluetooth.html regards, Jakob Am Di., 6. Okt. 2020 um 00:26 Uhr schrieb Hao Zhou <[email protected]>: Hi SUMO community, I'm interested in an efficient, real-time method to retrieve aggregated traffic measures around a moving observer. The fixed detectors are not very handy because I want to know the densities (or speed) at the upstream and downstream of a moving observer (car), as shown by the figure below. Those aggregated info are ideally meaured in road cells with lengths between 30m~60m. Anyone can share some neat ideas? Thank you in advance, Hao Zhou, Georgia Tech _______________________________________________ sumo-user mailing list [email protected] To unsubscribe from this list, visit https://www.eclipse.org/mailman/listinfo/sumo-user _______________________________________________ sumo-user mailing list [email protected] To unsubscribe from this list, visit https://www.eclipse.org/mailman/listinfo/sumo-user
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