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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yifan Zhao Longbiao Chen Chao Teng Shijian Li Gang Pan |
| Copyright Year | 2013 |
| Description | Author affiliation: Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China (Yifan Zhao; Longbiao Chen; Chao Teng; Shijian Li; Gang Pan) |
| Abstract | Gas-consumed urban transportation causes the problems of environment pollution and traffic congestion. Bicycling is an alternative transportation way for short-distance movement, which is a green and healthy style. Some modern cities are building Public Bicycle Sharing System (PBSS), so that inhabitants and tourists can temporarily use bicycles anywhere in the city. In this paper, Green Bicycling, a smartphone-based Public Bicycle Sharing System for healthy life is developed. Green Bicycling aims to improve the user experience and encourage cyclist to use BSS. It allows cyclist to query not only the current information of rental spots, but also the forecast state. To achieve this goal, an improved back propagation network prediction model is proposed. In addition, a quantitative measurement of calorie consumption in a riding trip is introduced into Green Bicycling, so that the cyclist could get intuitive understanding of how much calorie reduction from the riding. A simplified version of the Green Bicycling APP has been released in the Windows Phone Market. |
| Starting Page | 1335 |
| Ending Page | 1340 |
| File Size | 407779 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550466 |
| DOI | 10.1109/GreenCom-iThings-CPSCom.2013.232 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Green products Bicycle sharing Estimation Memory Bicycles Forecast Predictive models Routing Healthy life Engines Low-carbon |
| Content Type | Text |
| Resource Type | Article |
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