当前位置:
X-MOL 学术
›
Int. J. Pattern Recognit. Artif. Intell.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Analysis and Exploration of Open Source Data in Traffic Network Based on Scheduling Model of Bike-Sharing
International Journal of Pattern Recognition and Artificial Intelligence ( IF 1.5 ) Pub Date : 2021-01-04 , DOI: 10.1142/s0218001421590187 Yajie Zhang 1 , Xucheng Wan 2 , Suyu Zhang 1
International Journal of Pattern Recognition and Artificial Intelligence ( IF 1.5 ) Pub Date : 2021-01-04 , DOI: 10.1142/s0218001421590187 Yajie Zhang 1 , Xucheng Wan 2 , Suyu Zhang 1
Affiliation
With the rapid development of sharing economy, bike-sharing becomes essential because of its zero emission, high flexibility and accessibility. The emergence of the public bicycle system not only alleviates the traffic pressure to a certain extent, but also contributes to solving the “last kilometer” problem of public transportation. However, due to the concentrated use of shared bikes, many shared bikes are left in disorder, which seriously affects the urban environment and causes traffic problems. How to manage the allocation of bike-sharing and improve the city’s shared cycling system have become a highly discussed issue. We, taking Beijing as an example, research on the allocation of shared bikes by using the open source data provided by Amap, Baidu Map and websites of shared bikes, which are used to analyze the allocation, and establish an optimizing comprehensive evaluation model to evaluate the required level. In the end, we look forward the future of bike-sharing market.
更新日期:2021-01-04