Abstract | ||
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Mobility of people and goods in urban environments raises several quality and sustainability concerns. While ICTs have established the ground for developing intelligent transport services, their effective use for supporting cleaner urban mobility still represents a major research challenge. The eCOMPASS research project addressed this challenge through introducing new mobility concepts and establishing a methodological framework for route planning optimization, delivering a comprehensive set of innovative tools and services for end-users to enable eco-awareness in urban transport. eCOMPASS innovative tools are based on new algorithmic technology concerning tools and methods for vehicle routing (cars and vehicle fleets) and multimodal human mobility for city dwellers and tourists. eCOMPASS involved a generic architecture that considered all types and scenarios of human and goods mobility in urban environments minimizing their environmental impact. In this work, we report on the main scientific innovations and end-products of eCOMPASS for vehicle routing, including car route planning and vehicle fleets. |
Year | DOI | Venue |
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2017 | 10.1109/ISCC.2017.8024531 | 2017 IEEE Symposium on Computers and Communications (ISCC) |
Keywords | Field | DocType |
Urban mobility,environmental sustainability,route planning,car navigation,vehicle routing,traffic prediction | Vehicle routing problem,Architecture,Route planning,Environmental impact assessment,Computer science,ICTS,Simulation,Transport engineering,Sustainability,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-1630-7 | 0 | 0.34 |
References | Authors | |
3 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julian Dibbelt | 1 | 107 | 11.67 |
Dionisis Kehagias | 2 | 0 | 0.34 |
Grammati E. Pantziou | 3 | 366 | 42.33 |
Damianos Gavalas | 4 | 0 | 1.69 |
Charalampos Konstantopoulos | 5 | 514 | 40.88 |
Dorothea Wagner | 6 | 2362 | 221.67 |
Kalliopi Giannakopoulou | 7 | 2 | 2.73 |
Spyros Kontogiannis | 8 | 259 | 28.04 |
Christos D. Zaroliagis | 9 | 656 | 67.76 |