Lars Kulik

Optimizing crowdsourced delivery routes through concurrent selection of pickup stores and drivers

O Correa, E Tanin, K Ramamohanarao, L Kulik, A Zaslavsky, H Xie

Conference Proceedings  |  2022  |  Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2022

Many retailers are offering crowdsourced delivery where ad hoc drivers collect goods from pickup stores and deliver the goods to c..

An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data

Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Christopher Leckie, Lars Kulik

Journal article  |  2022  |  IEEE TRANSACTIONS ON CYBERNETICS

Short bursts of repeating patterns [intervals of recurrence (IoR)] manifest themselves in many applications, such as in the time-s..

Ad-hoc platoon formation and dissolution strategies for multi-lane highways

Santa Maiti, Stephan Winter, Lars Kulik, Sudeshna Sarkar

Journal article  |  2021  |  JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS

Vehicle platooning, a coordinated and controlled vehicle-following strategy, addresses the issue of high fuel consumption of heavy..

Shape-Sphere: A metric space for analysing time series by their shape

Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, James C Bezdek, Lars Kulik, Christopher Leckie

Journal article  |  2021  |  INFORMATION SCIENCES

Shape analogy is a key technique in analyzing time series. That is, time series are compared by how much they look alike. This con..

Preserving Privacy in the Internet of Connected Vehicles

Soheila Ghane, Alireza Jolfaei, Lars Kulik, Kotagiri Ramamohanarao, Deepak Puthal

Journal article  |  2021  |  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Today's vehicles are advancing from stand-alone transportation means to vehicle-to-vehicle, and vehicle-to-infrastructure communic..

A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series

Mahtab Mirmomeni, Lars Kulik, James Bailey

Conference Proceedings  |  2021  |  2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

In time series data, consecutively repeated patterns occur in many applications, including activity recognition from wearable sens..

Highly Efficient and Scalable Multi-hop Ride-sharing

Y Xu, L Kulik, R Borovica-Gajic, A Aldwyish, J Qi

Conference Proceedings  |  2020  |  GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

On-demand ride-sharing services such as Uber and Lyft have gained tremendous popularity over the past decade, largely driven by th..

A differentially private algorithm for range queries on trajectories

Soheila Ghane, Lars Kulik, Kotagiri Ramamoharao

Journal article  |  2020  |  KNOWLEDGE AND INFORMATION SYSTEMS

We propose a novel algorithm to ensure ϵ-differential privacy for answering range queries on trajectory data. In order to guarante..

GeoPrune: Efficiently Matching Trips in Ride-sharing Through Geometric Properties

Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, Lars Kulik

Conference Proceedings  |  2020  |  Proceedings of the 32nd International Conference on Scientific and Statistical Database Management

On-demand ride-sharing is rapidly growing. Matching trip requests to vehicles efficiently is critical for the service quality of r..

Effectively learning spatial indices

J Qi, G Liu, CS Jensen, L Kulik

Journal article  |  2020  |  Proceedings of the VLDB Endowment

Machine learning, especially deep learning, is used increasingly to enable better solutions for data management tasks previously s..