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 language||English (US)|
|Title of host publication||2017 IEEE 33rd International Conference on Data Engineering (ICDE)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||2|
|State||Published - May 18 2017|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work is partly supported by the National Natural Science Foundation of China (NSFC.61402532), and Beijing Nova Program.