A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation
40% of public transport users in the Johannesburg Metropolitan use the train as a preferred mode of transport for home to work journeys. Out of the 40% train users in Johannesburg, 35% travel from Johannesburg South to the East of Johannesburg and the 5% travel to the North side of Johannesburg.Ther...
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ndltd-UPSALLA1-oai-DiVA.org-kth-2841182020-10-15T05:26:47ZA SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operationengTSHABALALA, ZANDILEKTH, Transportplanering2020Engineering and TechnologyTeknik och teknologier40% of public transport users in the Johannesburg Metropolitan use the train as a preferred mode of transport for home to work journeys. Out of the 40% train users in Johannesburg, 35% travel from Johannesburg South to the East of Johannesburg and the 5% travel to the North side of Johannesburg.There are three main interconnecting stations in Johannesburg that is the Johannesburg Park Station (Central Johannesburg), Germiston Station (East of Johannesburg) and New Canada Station (South of Johannesburg). The study investigates the traffic from the South as it has massive patronage, and it experiences overcrowded trains, congestions, and delays. New Canada Station is the interconnection for traffic in these following routes, Vereeniging/Oberholzer- New Canada – Johannesburg- George Goch (Red Route), Naledi – New Canada – Johannesburg (Yellow Route) and Naledi – New Canada – George Goch (Blue Route). The red route experiences heavy delays and overcrowding, due to several factors like the distance between Johannesburg and Vereeniging, minimum headway of approximately 20 mins and the overcrowding which is a consequence of new townships developing around the railway lines.Three plans or scenarios were implemented on the SOWETO corridor traffic evaluation. The first plan uses the timeslots from the operator’s timetable, which had varying headways. The second plan evaluates the traffic when the headway has equal intervals, and the last plan assesses the introduction of route(s) given the results from the first and second plan. Dwell time, vehicle type are variables used to analyse the train traffic on the SOWETO corridors, a simulation using SUMO in conjunction with Python was implemented. The older train set specifications (5M2A called TYPE A) and the newer train set specifications (Xtrapolis called TYPE B) were used in the simulation.The headway influences the manner passengers arrive at the stations. Passengers arrive in large amounts when the headways are longer as most passengers turn to be reliant on the timetable. Varying headways experienced more delays than equal interval headways. TYPE A vehicles have longer travel time in comparison to TYPE B vehicles, the travel time is longer by (1-2) minutes. TYPE B vehicles have lesser dwell time due to the arrangement of their doors. Routing, assignment of vehicles to routes, design of a vehicle, passenger arrival rate and the headway are essential parts of a well performing network, as they influence the dwell time, delays, and congestion. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284118TRITA-ABE-MBT ; 20670application/pdfinfo:eu-repo/semantics/openAccess |
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Engineering and Technology Teknik och teknologier TSHABALALA, ZANDILE A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
description |
40% of public transport users in the Johannesburg Metropolitan use the train as a preferred mode of transport for home to work journeys. Out of the 40% train users in Johannesburg, 35% travel from Johannesburg South to the East of Johannesburg and the 5% travel to the North side of Johannesburg.There are three main interconnecting stations in Johannesburg that is the Johannesburg Park Station (Central Johannesburg), Germiston Station (East of Johannesburg) and New Canada Station (South of Johannesburg). The study investigates the traffic from the South as it has massive patronage, and it experiences overcrowded trains, congestions, and delays. New Canada Station is the interconnection for traffic in these following routes, Vereeniging/Oberholzer- New Canada – Johannesburg- George Goch (Red Route), Naledi – New Canada – Johannesburg (Yellow Route) and Naledi – New Canada – George Goch (Blue Route). The red route experiences heavy delays and overcrowding, due to several factors like the distance between Johannesburg and Vereeniging, minimum headway of approximately 20 mins and the overcrowding which is a consequence of new townships developing around the railway lines.Three plans or scenarios were implemented on the SOWETO corridor traffic evaluation. The first plan uses the timeslots from the operator’s timetable, which had varying headways. The second plan evaluates the traffic when the headway has equal intervals, and the last plan assesses the introduction of route(s) given the results from the first and second plan. Dwell time, vehicle type are variables used to analyse the train traffic on the SOWETO corridors, a simulation using SUMO in conjunction with Python was implemented. The older train set specifications (5M2A called TYPE A) and the newer train set specifications (Xtrapolis called TYPE B) were used in the simulation.The headway influences the manner passengers arrive at the stations. Passengers arrive in large amounts when the headways are longer as most passengers turn to be reliant on the timetable. Varying headways experienced more delays than equal interval headways. TYPE A vehicles have longer travel time in comparison to TYPE B vehicles, the travel time is longer by (1-2) minutes. TYPE B vehicles have lesser dwell time due to the arrangement of their doors. Routing, assignment of vehicles to routes, design of a vehicle, passenger arrival rate and the headway are essential parts of a well performing network, as they influence the dwell time, delays, and congestion. |
author |
TSHABALALA, ZANDILE |
author_facet |
TSHABALALA, ZANDILE |
author_sort |
TSHABALALA, ZANDILE |
title |
A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
title_short |
A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
title_full |
A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
title_fullStr |
A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
title_full_unstemmed |
A SUMO analysis of the railway traffic flow on the SOWETO corridor : Factors influencing train operation |
title_sort |
sumo analysis of the railway traffic flow on the soweto corridor : factors influencing train operation |
publisher |
KTH, Transportplanering |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284118 |
work_keys_str_mv |
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