Validating a parking lot assignment method
summary
Tests an auction based parking assignment for autonomous vehicles using an abstract two dimensional “pizza” city model and a detailed Eclipse SUMO simulation of an 11th District Budapest network. Implements a single unit demand simultaneous auction with a tunable free cruising weight and municipal distance regulation. Finds an optimal distance band of 2–4 km, shows low free cruising weight concentrates parking attempts, raising empty cruising distance and reducing average speed, and reports average daily parking charges remain similar to current Budapest levels, validating consistency.
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chapters (16)
- 0:00Intro
- 0:15Parking of Autonomous Vehicles
- 1:13Assumptions
- 1:57Auction based parking lot assignment
- 2:49Individual valuation of a parking lot
- 3:39Evaluation of the algorithm
- 4:21Can we use, and trust current simulations?
- 5:12Concept of the mechanism validation
- 7:07The abstract city model
- 7:56A SUMO scenario comparable to the abstract model
- 10:04Abstract model-based results - empty cruising
- 10:54SUMO-based results - empty cruising
- 11:37Abstract model-based - parking fees
- 12:16SUMO-based results - parking fees
- 13:09SUMO-based results - average speed
- 13:59Conclusion
