
Impact of stops for bus delays on routes
Author(s) -
Kudrat Kutlimuratov,
Akmal Mukhitdinov
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 - 10.1088/1755-1315/614/1/012084
Subject(s) - global positioning system , public transport , computer science , scheduling (production processes) , travel time , logistic regression , transport engineering , reliability (semiconductor) , multivariate statistics , automatic vehicle location , real time computing , operations research , engineering , telecommunications , operations management , power (physics) , physics , quantum mechanics , machine learning
In this paper bus travel time and delay is significant measures in public transportation. This research aims to explore impact of stops for the selected bus route and to find some simple suitable solutions to reduce the travel time and minimize delays for scheduling preferences of travellers. Delays data were collected using automatic vehicle location system (GPS technology) for the bus route #51 in Tashkent. Based on the collected GPS data were proposed the developed a linear and a logistic multivariate regression model. Travel time reliability were estimated regarding to a multivariate regression models and performed. The result shows that very good statistical suitable as expected and thus can be used in the public transportation to determine any travel time using real-time and available offline data. These outcomes, in the future it is expected that will be applicable and more efficient bus public transportation system in Tashkent.