Parking sensors

Credit: Unsplash/CC0 Public Domain

Even in the middle of a pandemic lockdown, finding a good parking space can be a painful task. Now, work published in the International Journal of Sensor Networks, offers a new approach to parking space allocation based on a distributed computing algorithm.

Yong Chen of the Business School at Zhejiang University City College, in Hangzhou, China, and colleagues explain that space allocation, while perhaps not common in some cities, is an essential part of ensuring drivers can all be accommodated in the busiest of metropolises. The team's approach utilises a driver's navigation system to pinpoint them in the city, to glean their intended destination and to plot a route for them to follow to an available and hopefully optimal parking . Such a distributed algorithm benefits from knowing where all of the users are, their intended destinations, and the availability of parking spaces across the .

The team has demonstrated proof of principle under different levels of traffic and parking demand ratios. They point out that their distributed approach is most suitable for scenarios with high demand and high supply to demand ratio. It works better than other centralised algorithms that either work from the perspective of a single driver or a single car park. The distributed approach offers far greater adaptability, the team says, and provides more reliable results.

More information: Guanlin Chen et al. A parking space allocation algorithm based on distributed computing, International Journal of Sensor Networks (2020). DOI: 10.1504/IJSNET.2020.109196

Provided by Inderscience
Citation: Parking sensors (2020, September 7) retrieved 24 February 2024 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

New smart parking software cuts congestion, emissions


Feedback to editors