Title
Smart Route Planning Using Open Data and Participatory Sensing.
Abstract
Smart cities are not merely the infusion of technology into a city's infrastructure, but also require citizens interacting with their urban environment in a smart and informed manner. Transportation is key aspect of smart cities. In this paper, we present a smart route planning open-source system; SMART-GH utilizes open data and participatory sensing, where citizens actively participate in collecting data about the city in their daily environment, e.g., noise, air pollution, etc. SMART-GH then augments the routing logic with sensor data to answer queries such as 'return the least noisy route'. SMART-GH enables citizens to make smarter decisions about their daily commute, and subsequently improve their quality of life.
Year
DOI
Venue
2015
10.1007/978-3-319-17837-0_9
IFIP Advances in Information and Communication Technology
Keywords
Field
DocType
Participatory sensing,Open-data,Open-source,Smart-city routing
Open data,Route planning,Computer science,Urban environment,Transport engineering,Knowledge management,Architectural engineering,Participatory sensing
Conference
Volume
ISSN
Citations 
451
1868-4238
5
PageRank 
References 
Authors
0.63
2
3
Name
Order
Citations
PageRank
Vivek Nallur1877.56
Amal Elgammal22129.92
Siobhán Clarke369987.36