Towards Data-Driven On-Demand Transport
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2018, Vol 5, Issue 14
Abstract
On-demand transport has been disrupted by Uber and other providers, which are challenging the traditional approach adopted by taxi services. Instead of using fixed passenger pricing and driver payments, there is now the possibility of adaptation to changes in demand and supply. Properly designed, this new approach can lead to desirable tradeo s between passenger prices, individual driver profits and provider revenue. However, pricing and allocations—known as mechanisms—are challenging problems falling in the intersection of economics and computer science. In this paper, we develop a general framework to classify mechanisms in on-demand transport. Moreover, we show that data is key to optimizing each mechanism and analyze a dataset provided by a real-world on-demand transport provider. This analysis provides valuable new insights into eÿcient pricing and allocation in on-demand transport.
Authors and Affiliations
Malcolm Egan, Jan Drchal, Jan Mrkos, Michal Jakob
Keywords
Related Articles
- EP ID EP46080
- DOI http://dx.doi.org/10.4108/eai.27-6-2018.154835
- Views 326
- Downloads 0
Information theory based performance analysis and enhancement of Safety applications and cluster design in VANET
Safety applications in vehicular ad hoc network (VANET) are handled by broadcast to disseminate safety related messages, due to lack of stable topology. The mobility of vehicles leads to significant performance degradati...
Wireless Broadband Opportunities through TVWS for Networking in Rural areas of Africa
In this paper, we propose a new approach based on Cognitive Radio technology to address the challenges for ensuring connectivity in remote areas of Africa. Indeed, the current network coverage is concentrated around the...
An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication
For disaster communications, it is very challenging for the contemporary wireless technology and infrastructure to meet the demands for connectivity. Modern wireless networks should be developed to satisfy the increasing...
A Research on Mobile Cloud Computing and Future Trends
With an exploding growth of the mobile applications and emerging of cloud computing, mobile cloud computing (MCC) has become a potential technology for mobile services. MCC is the combination of cloud computing, mobile c...
Resource Allocation for Energy Efficiency in 5G Wireless Networks
Resource allocation is one important mission in wireless communication systems. In 5G wireless networks, it is essential that the new systems be more dynamic and wiser to simultaneously satisfy various network demands, b...