Name
Title | ||
|---|---|---|
Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio |
Abstract | ||
|---|---|---|
IBM STAR-CITY is a system supporting Semantic road Traffic Ana-lytics and Reasoning for CITY. The system has ben designed (i) to provide insight on historical and real-time traffic conditions, and (ii) to support efficient urban planning by integrating (human and machine-based) sensor data using variety of formats, velocities and volumes. Initially deployed and experimented in Dublin City (Ireland), the system and its architecture have been strongly limited by its flexibility and scalability to other cities. This paper describes its limitations and presents the \"any-city\" architecture of STAR-CITY together with its semantic configuration for flexible and scalable deployment in any city. This paper also strongly focuses on lessons learnt from its deployment and experimentation in Dublin (Ireland), Bologna (Italy), Miami (USA) and Rio (Brazil). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11915-1_19 | International Semantic Web Conference |
Field | DocType | Volume |
Miami,Architecture,World Wide Web,IBM,Software deployment,Computer science,Urban planning,RDF,Traffic conditions,Scalability | Conference | 8797 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.44 |
References | Authors | |
11 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Freddy Lécué | 1 | 634 | 50.52 |
| Robert Tucker | 2 | 30 | 2.44 |
| Simone Tallevi-Diotallevi | 3 | 43 | 3.27 |
| Rahul Nair | 4 | 3 | 0.44 |
| Yiannis Gkoufas | 5 | 17 | 5.96 |
| Giuseppe Liguori | 6 | 3 | 0.78 |
| Mauro Borioni | 7 | 3 | 0.44 |
| Alexandre Rademaker | 8 | 3 | 1.12 |
| Luciano Barbosa | 9 | 714 | 43.86 |