TY - GEN
T1 - A Sharing Bike Scheduling Optimization Algorithm Based on Two-Dimensional Dynamic Model and Improved Genetic Algorithm
AU - Liu, Zhenheng
AU - Ren, Lei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - Bike sharing are now one of the most hot items in the financial market, which result in the research on bicycle sharing scheduling risen in recent years. However, the study of bicycle sharing scheduling in China now only remains in the static scheduling stage, just using single objective function of route planning, ignoring the actual geographical conditions and other issues. In this context, this paper proposes a dynamic scheduling model for bicycle sharing with an improved genetic algorithm to reduce the number of routes, which could increase the number of users, and improve the overall efficiency. In addition the scheduling model can be adjusted basing on actual conditions and the urban environment. The experimental results show that this model can greatly increase the number of users and improve the level of income.
AB - Bike sharing are now one of the most hot items in the financial market, which result in the research on bicycle sharing scheduling risen in recent years. However, the study of bicycle sharing scheduling in China now only remains in the static scheduling stage, just using single objective function of route planning, ignoring the actual geographical conditions and other issues. In this context, this paper proposes a dynamic scheduling model for bicycle sharing with an improved genetic algorithm to reduce the number of routes, which could increase the number of users, and improve the overall efficiency. In addition the scheduling model can be adjusted basing on actual conditions and the urban environment. The experimental results show that this model can greatly increase the number of users and improve the level of income.
KW - bicycle sharing
KW - genetic algorithm
KW - intelligent optimization
UR - https://www.scopus.com/pages/publications/85067891480
U2 - 10.1109/Cybermatics_2018.2018.00157
DO - 10.1109/Cybermatics_2018.2018.00157
M3 - 会议稿件
AN - SCOPUS:85067891480
T3 - Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
SP - 801
EP - 806
BT - Proceedings - IEEE 2018 International Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Y2 - 30 July 2018 through 3 August 2018
ER -