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Research Article

New algorithms for parking demand management and a city-scale deployment

By Zoeter, O., Dance, C., Clinchant, S., & Andreoli, J. M.

Full Citation

Zoeter, O., Dance, C., Clinchant, S., & Andreoli, J. M. (2014, August). New algorithms for parking demand management and a city-scale deployment. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1819-1828).

Key Findings

This paper introduces a novel demand management solution: using data from dedicated occupancy sensors an iteration scheme updates parking rates to better match demand. The new rates encourage parkers to avoid peak hours and peak locations and reduce congestion and underuse. The algorithm is in use to change parking rates in over 6000 spaces in downtown Los Angeles since June 2012 as part of the LA Express Park project. Initial results are encouraging with a reduction of congestion and underuse, while in more locations rates were decreased than increased.

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