David Lopez, Bilal Farooq
arXiv 9 Aug 2019 · cs.CR
arXiv:1908.03446 · PDF · DOI · OpenAlex · Extracted main text
A generalized distributed tool for mobility choice modelling is presented, where participants do not share personal raw data, while all computations are done locally. Participants use Blockchain based Smart Mobility Data-market (BSMD), where all transactions are secure and private. Nodes in blockchain can transact information with other participants as long as both parties agree to the transaction rules issued by the owner of the data. A case study is presented where a mode choice model is distributed and estimated over BSMD. As an example, the parameter estimation problem is solved on a distributed version of simulated annealing. It is demonstrated that the estimated model parameters are consistent and reproducible.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | David Lopez and Bilal Farooq (2018) A blockchain framework for smart mobility self | 0.644 | 2 | 2 | 100% |
| 2 | David Lopez and Bilal Farooq (2019) A multi-layered blockchain framework for smart mobility data-markets self | 0.644 | 2 | 2 | 100% |
| 3 | Anae Sobhani and Bilal Farooq (2017) Innovative intercity transport mode: Application of choice preference integrated with attributes nonattendance and value learning self | 0.511 | 2 | 1 | 100% |
| 4 | F. Amalina, I. A. T. Hashem, Z. H. Azizul, A. T. Fong, A. Firdaus, M… (2019) Blending big data analytics: Review on challenges and a recent study | 0.405 | 1 | 1 | 100% |
| 5 | L. M. Bach, B. Mihaljevic, and M. Zagar (2018) Comparative analysis of blockchain consensus algorithms | 0.405 | 1 | 1 | 100% |
| 6 | Godwin Badu-Marfo, Bilal Farooq, and Zachary Patterson (2019) A perspective on the challenges and opportunities for privacy-aware big transportation data self | 0.405 | 1 | 1 | 100% |
| 7 | Richard Barff, David Mackay, and Richard W. Olshavsky (1982) A Selective Review of Travel-Mode Choice Models | 0.405 | 1 | 1 | 100% |
| 8 | Carole Cadwalladr and Emma Graham-Harrison (2018) Revealed: 50 million facebook profiles harvested for cambridge analytica in major data breach | 0.405 | 1 | 1 | 100% |
| 9 | Google AI (2017) Federated learning: Collaborative machine learning without centralized training data, 2017 | 0.405 | 1 | 1 | 100% |
| 10 | Julian Hagenauer and Marco Helbich (2017) A comparative study of machine learning classifiers for modeling travel mode choice | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 24 scored citations.