Pricing Schemes for Metropolitan Traffic Data Markets

Negin Golrezaei, Hamid Nazerzadeh

2014

Abstract

Data marketplaces provide platforms for management of large data sets. The data markets are rapidly growing, yet the pricing strategies for data and data analytics are not yet well-understood. In this paper, we explore some of the pricing schemes applicable to data marketplaces in the context of transportation traffic data. This includes historical and real-time freeway and arterial congestion data. We investigate pricing raw sensor data vs. processed information (e.g, prediction of traffic patterns or route planning services) and show that, under natural assumptions, the raw data should be priced higher than processed information.

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Paper Citation


in Harvard Style

Golrezaei N. and Nazerzadeh H. (2014). Pricing Schemes for Metropolitan Traffic Data Markets . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 266-271. DOI: 10.5220/0005106602660271


in Bibtex Style

@conference{data14,
author={Negin Golrezaei and Hamid Nazerzadeh},
title={Pricing Schemes for Metropolitan Traffic Data Markets},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={266-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005106602660271},
isbn={978-989-758-035-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Pricing Schemes for Metropolitan Traffic Data Markets
SN - 978-989-758-035-2
AU - Golrezaei N.
AU - Nazerzadeh H.
PY - 2014
SP - 266
EP - 271
DO - 10.5220/0005106602660271