Extending SUMO for Lane-Free Microscopic Simulation of Connected and Automated Vehicles
summary
Extends SUMO to a lane‑free microscopic simulator called TrafficFluid‑Sim that lets vehicles occupy arbitrary lateral positions and perform V2V/V2I “nudging”; integrates a dynamic library to avoid external comms delay and offers an API for online control and data (speeds, densities, loop detectors, events); implements both a lateral/longitudinal double‑integrator and a bicycle kinematic model for realism; two demand‑insertion methods tested show higher throughput for the gap‑based inserter at 12,000 veh/h.
AI-written summary · about
chapters (10)
- 0:00Intro
- 1:17Overview of the Application
- 2:43Highlighted Features
- 3:26Lane-Free Vehicle Movement in SUMO
- 4:56API Functionalities
- 8:26How should we insert vehicles in Lane-Free Environments
- 9:54Video Simulation (Method 1)
- 10:14Desired Speed Distribution (Method 2) desired speed
- 11:00Video Simulation (Method 2)
- 11:52Forthcoming Extensions Lateral Boundaries based on the vehicle's route: Sigmoid funcfors that dictate the available lateral space - Vehicles should operate within the designated lateral bounds
related talks
45mKEYNOTE: Traffic simulation modeling: combining generative modeling with transportation science ...
24mTowards Smarter Intersections Through Digital Twins - The Coupling of SUMO and SCENIMINI
19mCycle-Level Distribution-Based Calibration of Microscopic Intersection Models Using UAV Trajectories
18mSUMO Simulations for Federated Learning in Communicating Autonomous Vehicles
15mSUMO and the Transportation GeoXchange (TGX)
17mSimulation based method for the analysis of energy-efficient driving algorithms
42mThe Importance of Open Simulators and AI in a Changing Mobility Landscape
20mAI on the Fast Lane: Smart Traffic Systems to Unclog our Cities