A Fair Assignment of Drivers to Parking Lots

被引：0

作者：

Taheri, Nicole ^{[1
]}

Yu, Jia Yuan ^{[2
]}

Shorten, Robert ^{[3
]}

机构：

[1] End To End Analyt, Palo Alto, CA 94303 USA

[2] Concordia Univ, Montreal, PQ, Canada

[3] Univ Coll Dublin, Dublin, Ireland

来源：

2017 INTERNATIONAL SMART CITIES CONFERENCE (ISC2) | 2017年

关键词：

Optimization; Parking; Fairness; WIRELESS SENSOR NETWORKS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Searching for a parking spot wastes time and energy, and becomes more prevalent with electric vehicles. This waste can be reduced by assigning drivers to parking lots based on their destination and arrival time. In such a system, drivers could request a parking spot in advance and be alerted (e.g., via their phone or vehicle) of their assignment to a specific parking lot or available spot. In this paper, a parking assignment system is described to allocate parking spaces in a fair and equitable manner. Heuristics are developed to solve the underlying large scale optimization problem. The efficacy of the system is demonstrated by applying our algorithms to real data sets.

引用

页数：8

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