| Title |
Smart Route Planning Using Open Data and Participatory Sensing |
| ID_Doc |
44110 |
| Authors |
Nallur, V; Elgammal, A; Clarke, S |
| Title |
Smart Route Planning Using Open Data and Participatory Sensing |
| Year |
2015 |
| Published |
|
| DOI |
10.1007/978-3-319-17837-0_9 |
| 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. |
| Author Keywords |
Participatory sensing; Open-data; Open-source; Smart-city routing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000368495600011 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
https://link.springer.com/content/pdf/10.1007/978-3-319-17837-0_9.pdf
|