Open AccessModeling and optimizing the bus operation based on the bus app
Author(s) -
Kunmiao Xu,
Shanshan Cui,
Peng Zhou
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/587/1/012072
Subject(s) - arrival time , local bus , computer science , service (business) , bus network , public transport , control bus , process (computing) , system bus , automotive engineering , transport engineering , engineering , computer hardware , economy , economics , operating system
Bus congestion is a common phenomenon in the process of bus operation, which will worsen bus service to a certain extent and further affect residents’ travel choice. To cope with this problem, this paper proposed a new passenger arrival model taking into account the usage of bus app, which represents the dynamic passenger arrival distribution and where bus capacity constraints are explicitly considered. First, a bus propagation model was developed to carry out theoretical analysis of the bus bunching problem. Afterwards, the new passenger arrival rule, namely, triangular passenger arrival rule, was obtained by fitting the researching data of the passengers who used “bus is coming” app. Finally, under this law of arrival, a new enhanced bus propagation model was developed. By comparing the simulated results, we found that the occurrence of bus bunching was reduced dramatically and the operation of the bus was more stable, which indicated the superiority of the triangular passenger arrival rule.