MOBI-AID: A Big Data Platform for Real-Time Analysis of OnBoard Unit Data

Every day large amounts of goods are transported by heavy-goods vehicles over the road network. Being able to monitor and analyse heavy-goods vehicle traffic is essential to define policies able to minimize the impact of negative effects. However,this requires dealing with large amounts of data and often a dense road network, especially in an urban setting. This paper introduces a platform that makes use of state-of-the-art big data technologies to process data pertaining to the positions and properties of heavy-goods vehicles. This platform aims to provide policy-makers and other stakeholders with the tools that allow large-scale analysis of heavy-goods vehicle data in a near real-time fashion. Additionally, the platform allows for forecasting of future traffic conditions based on historical data