ITS collect data through pervasive sensors then adapt the transportation system to the current situation and the users’ needs to optimize system performance. The back end of the system comprises data collection and analysis while the front end advanced information systems enable users to make more informed, safer and “smarter” use of the transportation network.
A Context-aware Service Overlay for Next-Generation Connected ITS Applications
Development of interoperable applications is a key requirement of many intelligent transportation systems. Applications like advanced traveller information systems, incident management systems, and emergency management systems require coordination, sharing information and services across multiple agencies, multiple data sources, and multiple communication media.
Robust Route-Guidance Algorithms using Graph Analytics on Big Traffic Data
Advanced Traveler Information Systems (ATIS) aim to provide real-time, traveller and personalized route guidance information to road users. In particular, by continuously monitoring traffic states and executing Dynamic Traffic Assignment (DTA) algorithms, ATIS systems aim to provide car-specific route updates to achieve a particular system traffic strategy.