Collective Travel Planning in Spatial Networks

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We propose and investigate a novel query, the Collective Travel Planning (CTP) query, that finds the lowest-cost route connecting multiple query sources and a destination via at most k meeting points. This type of query is useful in organizing large events, and it can bring significant benefits to society and the environment: it can help optimize the allocation of transportation resources, reduce resource consumption, and enable smarter and greener transportation; and it can help reduce greenhouse-gas emissions and traffic congestion.
Original languageEnglish (US)
Title of host publication2017 IEEE 33rd International Conference on Data Engineering (ICDE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages59-60
Number of pages2
ISBN (Print)9781509065431
DOIs
StatePublished - May 18 2017

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