Improving Addis Ababa Light Railway Transit Service Using Queue Theory and Monte-Carlo Simulation Models: Case of Torhailoch And Lideta Stations
| dc.contributor.advisor | Abraham, Assefa (PhD) | |
| dc.contributor.author | Tamene, Taye | |
| dc.date.accessioned | 2020-07-06T07:48:19Z | |
| dc.date.accessioned | 2023-11-11T08:29:31Z | |
| dc.date.available | 2020-07-06T07:48:19Z | |
| dc.date.available | 2023-11-11T08:29:31Z | |
| dc.date.issued | 2019-09 | |
| dc.description.abstract | One of the main problems of Addis Ababa light railway transit service is the congestion and extended waiting line. The waiting time of passengers took on average 17 minutes, greatly reducing the satisfaction of customers. This is the reason why the study set the main objective to develop an optimization model for improving the service of AALRT station. As part of the approach to achieve this objective, the study first developed the characteristics of the data to investigate the congestion problem. second, an optimization model developed on the selected station. And finally, the researcher designed an alternative model through comparing the performance and cost-effectiveness against the existing model. The study adopted case study research methodology by taking the Torhailoch and Lideta metro station using combined Queuing Theory and Monte-Carlo simulation method. Moreover, the case studies were selected for the most congested station in the morning’s and afternoon’s peak hours. Based on this, primary data were collected from each station and secondary data were conducted from document and through interview. The best fit probability distributions of the passengers were found to be uniform, binomial and negative binomial. These indicates that the congestion problem cannot be solved through Queue Theory and Markov Chain. Hence, the researcher optimized the problem by combining Queuing Theory and Monte Carlo simulation. The models output indicates that the congestion rate of AALRT in Torhailoch and Lideta are 109.13% - 115.76% and 116.18% -131.06%, respectively. Therefore, it was found that adding two single tramcars could reduce the waiting time by seven minutes and the congestion by 95%. As well, the new model improved the profit by $4,152.25 and $3,623.22 per hour in the morning and afternoon, respectively. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/21889 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Optimization | en_US |
| dc.subject | Queue Theory | en_US |
| dc.subject | Markov Chain | en_US |
| dc.subject | Monte Carlo Simulation | en_US |
| dc.subject | Waiting Time | en_US |
| dc.title | Improving Addis Ababa Light Railway Transit Service Using Queue Theory and Monte-Carlo Simulation Models: Case of Torhailoch And Lideta Stations | en_US |
| dc.type | Thesis | en_US |