scientific papers

Big Data Harmonization for Intelligent Mobility: a Dynamic Toll-charging Scenario

October 25, 2016

By: Uniniva

Abstract: The need for interoperability in mobility data is more crucial than ever. Due to a panoply of data sources, from traffic sensors to GPS data, mobility data is increasingly more complex in terms of volume, heterogeneity, availability and quality. To turn such complex data into shareable, meaningful data, interoperability approaches must be implemented, namely through the use of standards. The presented work, aims at developing an approach for transforming and harmonize, traffic related data acquired from highway sensor network, supported by an ITS reference data model (DATEX-II). CRISP-DM methodology is addressed here, as a methodology for guiding the developments of the proposed approach. The main challenge is to cope with a scalable big data- platform for traffic-related data collection, supporting an innovative dynamic toll-charging model in a real-world scenario. This work is supported by a European Commission-funded project, named OPTIMUM, and presents some preliminary results from data harmonization processes developed. Date: 2016 October

 

Incident Detection Using Data from Social Media
Curious Cat – Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition
A Big Data Architecture for Traffic Forecasting Using Multi-Source Information
Exploring the Links between Persuasion, Personality and Mobility Types in Personalised Mobility Applications
Towards System-Aware Routes
Proactive Charging Schemes for Freight Transport: Dynamic Toll Discounts as a Tool to Reduce National Road Traffic
Big Data Processing and Storage Framework for ITS: A Case Study on Dynamic Tolling
Personalised Persuasion for Sustainable Mobility
Persuasive Technologies for Sustainable Urban Mobility
Estimating the State of Battery Charge in an Intelligent Mobile Home
Near Real-Time Transportation Mode Detection Based on Accelerometer Readings
Spatio-temporal Clustering Methods
An architecture for big data processing on intelligent transportation systems. An application scenario on highway traffic flows
Memory Priming and User Preferences
Smart Cargo for Multimodal Freight Transport: When “Cloud” becomes “Fog”
Travel Time Prediction on Highways
Curious Cat2 – Conversational Crowd-Based and Context-Aware Knowledge Acquisition Chat Bot
TensiStrength – Stress and Relaxation Magnitude Detection for Social Media Texts
Proactive recommendations for Intelligent Mobility - An approach based on real-time big data processing
Personalized Persuasion Services for Route Planning Applications
Understanding Personal Mobility Patterns for Proactive Recommendations