Evaluation of Traffic Engineering Management in Semarang City CBD with the Contram Application
Achmad Choliq Anwar,
Rachmat Mudiyono,
Soedarsono
Issue:
Volume 9, Issue 4, December 2023
Pages:
72-78
Received:
Jul. 30, 2023
Accepted:
Aug. 16, 2023
Published:
Oct. 14, 2023
Abstract: One of the centers of economic activity in Semarang City is the Tugu Muda Central Business District (CBD) area which is located on the Imam Bonjol, Captain Piere Tendean, and Pemuda roads. This area is a center of community movement which has a very high traffic pull generation, causing congestion. The Semarang City Government since 2017 until now (2022) has implemented a One Way System in the area. Therefore, it is necessary to evaluate the existing traffic services after 5 years of implementation. This research was conducted to determine the effectiveness and efficiency of the existing One Way Traffic System during the morning peak hour. The trick is to compare performance using 2 alternative scenarios. Alternative I uses a two-way system without parking lanes and Alternative II uses a two-way system with parking lanes. The method used is a case study based on MKJI calculations and the use of the Contram Release 5.09 application. The results of the analysis show that for the performance of roads (micro), namely V/C Ratio and speed, the One Way System has a better value than Alternative I and Alternative II. For road network performance (macro) which consists of travel time, mileage, network speed, and fuel consumption also has a better value. One Way System after 5 years is still feasible.
Abstract: One of the centers of economic activity in Semarang City is the Tugu Muda Central Business District (CBD) area which is located on the Imam Bonjol, Captain Piere Tendean, and Pemuda roads. This area is a center of community movement which has a very high traffic pull generation, causing congestion. The Semarang City Government since 2017 until now ...
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Research Article
Parameter Estimation and Sensitivity Analysis of Bus Rapid Transit Frequency in Tanzania
Laurencia Ndelamo Massawe,
Oluwole Daniel Makinde
Issue:
Volume 9, Issue 4, December 2023
Pages:
79-85
Received:
Sep. 14, 2023
Accepted:
Oct. 09, 2023
Published:
Oct. 28, 2023
DOI:
10.11648/j.ijtet.20230904.12
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Views:
Abstract: Mathematical model on a single line was presented based on four equations; operation cost, passenger cost, total cost and Bus Rapid Transit (BRT) service frequency. The analysis of the model shows that the increase of BRT services frequency tends to increase total passenger demand which lead to decrease operational cost and passenger cost in terms of waiting time. In numerical simulation, it is observed that the increase of passenger demand (p), tends to increase the frequency of BRT. But absence of Passenger demand (p) reduce the BRT frequency which leads to increase operational cost; for example, paying salary for BRT staff, bus services and other cost like office expenses. Furthermore, passenger demand depends on other parameters like the decrease of value of initial bus cost BC0, waiting time Wt, average getting on and ending time per passenger Goe, proportion between average waiting period and the service a1, hurrying and slowing down at stops and at the junction plus passenger getting on and descending from the bus hs, increase the value of in-bus time serving Bts, and proportion of average trip length to the total rout length a2. The specific cases of BRT operation and passenger behaviour can be analysed for their effect on the value of a1. On the other hand, if movements are large and a timetable of bus plan is published, then passengers change their behaviour and arrive at bus stops a few minutes before the planned bus arrival. This indicates that there is much work to be done for BRT management. BRT management requires organisational efforts, deliberate planning, fund from the public, and coordination between of passengers and staff members.
Abstract: Mathematical model on a single line was presented based on four equations; operation cost, passenger cost, total cost and Bus Rapid Transit (BRT) service frequency. The analysis of the model shows that the increase of BRT services frequency tends to increase total passenger demand which lead to decrease operational cost and passenger cost in terms ...
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