Column Generation for Real-Time Ride-Sharing Operations

被引：21

作者：

Riley, Connor ^{[1
]}

Legrain, Antoine ^{[2
]}

Van Hentenryck, Pascal ^{[1
]}

机构：

[1] Georgia Inst Technol, Atlanta, GA 30332 USA

[2] Polytech Montreal, Montreal, PQ H3T 1J4, Canada

来源：

INTEGRATION OF CONSTRAINT PROGRAMMING, ARTIFICIAL INTELLIGENCE, AND OPERATIONS RESEARCH, CPAIOR 2019 | 2019年 / 11494卷

关键词：

Real-time dial-a-ride; Large-scale optimization;

D O I：

10.1007/978-3-030-19212-9_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper considers real-time dispatching for large-scale ride-sharing services over a rolling horizon. It presents RTDARS which relies on a column-generation algorithm to minimize wait times while guaranteeing short travel times and service for each customer. Experiments using historic taxi trips in New York City for instances with up to 30,000 requests per hour indicate that the algorithm scales well and provides a principled and effective way to support large-scale ride-sharing services in dense cities.

引用

页码：472 / 487

页数：16

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