Dr. David Eckhoff

I am a Principal Scientist and the Director of the MoVES Lab at TUMCREATE, Singapore. My research focuses on future transportation technologies, simulation, the smart city, and privacy.

Chunling Luo, Xinrong Li, Yuan Zhou, Aakil M. Caunhye, Umberto Alibrandi, Nazli Y. Aydin, Carlo Ratti, David Eckhoff and Iva Bojic, "Data-driven disruption response planning for a Mass Rapid Transit system," Proceedings of KES International Symposium on Smart Transportation Systems 2019 (KES-STS-19), St. Julians, Malta, June 2019, pp. 205-213.

Quick access

Original Version DOI (at publishers web site)
Authors' Version PDF (PDF on this web site)
BibTeX BibTeX

Contact

Chunling Luo
Xinrong Li
Yuan Zhou
Aakil M. Caunhye
Umberto Alibrandi
Nazli Y. Aydin
Carlo Ratti
David Eckhoff
Iva Bojic

BibTeX reference

@inproceedings{luo2019data,
    author = {Luo, Chunling and Li, Xinrong and Zhou, Yuan and Caunhye, Aakil M. and Alibrandi, Umberto and Aydin, Nazli Y. and Ratti, Carlo and Eckhoff, David and Bojic, Iva},
    booktitle = {KES International Symposium on Smart Transportation Systems 2019 (KES-STS-19)},
    title = {{Data-driven disruption response planning for a Mass Rapid Transit system}},
    year = {2019},
    address = {St. Julians, Malta},
    month = {June},
    pages = {205-213},
    publisher = {Springer},
    doi = {10.1007/978-981-13-8683-1_21},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.