Privacy-preserving electronic road pricing system for low emission zones with dynamic pricing

2016 ◽  
Vol 9 (16) ◽  
pp. 3197-3218 ◽  
Author(s):  
Roger Jardí-Cedó ◽  
Jordi Castellà-Roca ◽  
Alexandre Viejo
Author(s):  
Roger Jardí-Cedó ◽  
Macià Mut-Puigserver ◽  
M. Magdalena Payeras-Capellà ◽  
Jordi Castellà-Roca ◽  
Alexandre Viejo

Author(s):  
Arinbjörn Kolbeinsson ◽  
Naman Shukla ◽  
Akhil Gupta ◽  
Lavanya Marla ◽  
Kartik Yellepeddi

Ancillaries are a rapidly growing source of revenue for airlines, yet their prices are currently statically determined using rules of thumb and are matched only to the average customer or to customer groups. Offering ancillaries at dynamic and personalized prices based on flight characteristics and customer needs could greatly improve airline revenue and customer satisfaction. Through a start-up (Deepair) that builds and deploys novel machine learning techniques to introduce such dynamically priced ancillaries to airlines, we partnered with a major European airline, Galactic Air (pseudonym), to build models and algorithms for improved pricing. These algorithms recommend dynamic personalized ancillary prices for a stream of features (called context) relating to each shopping session. Our recommended prices are restricted to be lower than the human-curated prices for each customer group. We designed and compared multiple machine learning models and deployed the best-performing ones live on the airline’s booking system in an online A/B testing framework. Over a six-month live implementation period, our dynamic pricing system increased the ancillary revenue per offer by 25% and conversion rate by 15% compared with the industry standard of human-curated rule-based prices.


2012 ◽  
Vol 1 (6) ◽  
pp. 190-195
Author(s):  
Yuriko Hattori ◽  
Takeshi Nagata ◽  
Keiji Terasaka

Author(s):  
Fazil T. Najafi ◽  
Fadi Emil Nassar ◽  
Paul Kaczorowski

Automated toll collection (ATC) systems have been implemented successfully in the United States to collect tolls on bridges and at tunnels and turnpikes. A conceptual national automated road pricing system (NARPS) is described. NARPS consists of a nationwide application of an integrated and coordinated ATC system. Its primary purpose is to collect variable tolls on congested urban roads to improve traffic distribution and the overall efficiency of the highway system. The components of the proposed system are transponders, detectors, and processors used to automatically identify approaching vehicles at normal speed, calculate applicable tolls, and maintain local data bases of all tolls and vehicles to be processed remotely in a control center. A nationwide application of an integrated ATC system offers numerous significant advantages: cost savings, efficiency, traffic management, and a host of secondary applications that are not feasible with localized ATC systems. The management of the system is simplified by billing only drivers who exceed a threshold toll amount, thereby exempting the majority of drivers in rural and other areas.


2008 ◽  
Vol 2 (2) ◽  
pp. 248-257 ◽  
Author(s):  
J.D. Porter ◽  
D.S. Kim
Keyword(s):  

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