Abstract
Congestion is one of problems that must be solved by the Government of Bandung City. One of the projects are improving the public transport sector. Trans Metro Bandung (TMB) is one of public transport at Bandung. People’s interest to use TMB is very low. This happens because TMB does not have a reliable bus schedule. The focus of this study is to build a TMB’s corridor 2 schedule with headway based on the current passenger condition. The headway is determined using the max load method. This study will compare the current headway target set by TMB with the headway based on the passenger arriving pattern. After that, the schedule which is made from the choosen headway will be simulated. This study shows that the current headway set by Trans Metro Bandung management is better. Simulation shows that schedule can reduce passenger average waiting time quite significant.
Highlights
Congestion is one of problems that must be solved by the Government of Bandung City
In 2019, Statistics Indonesia, through its research which titled “Bandung in Numbers”, states that the number of private cars in Bandung reach 392,000 units and private motorcycles is 1,244,433 units. 78.28% of Bandung’s inhabitans choose to use their own vehicle to transport from one point to other point rather than use public transport (Statistics Indonesia, 2017)
We examine whether the simulation results differ from the real world statistically
Summary
The first step after doing literature review is to get the data on interarrival time of passengers, Jurnal Ilmiah Teknik Industri p-ISSN 1412-6869 e-ISSN 2460-4038 distance between shelters and the average velocity of TMB. The average headway of TMB’s corridor 2 is 27 minutes while the target from TMB’s management is 20 minutes Based on this condition, in this research, the probability distribution of interarrival time of passengers of TMB’s corridor 2 is following Weibull distribution with the shape parameter (α) value is 0.46 and scale parameter (β) is 6.12. After knowing the probability distribution of interarrival time of passengers of TMB’s corridor 2, the number of passengers in each interval time is generated using the algorithms below (Law, 2015). Step is converting the uniform random number (0,1) to the Weibull distribution number using equation (3) After this step, the interarrival time of passengers have been generated
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call