Center for Railway Engineering

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Browsing Center for Railway Engineering by Subject "AA-LRT"

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    Analysis and Design of an Optimized Automatic Fare Collection System for Addis Ababa Light Rail Transit
    (Addis Ababa University, 2019-08) Mola, Ayenew; Yihenew, Wondie (PhD)
    Recently, everything in the world becomes smart and digitalized. Many advances have been made in the transportation sector too. However, railway transport in Ethiopia has been an area where such new advances have turned their faces out. Therefore, this paper, will introduce an Automatic Fare Collection system (AFC) to up bring the railway transportation system in Ethiopia to the best standard. In addition, this paper will focus on different ways of implementing AFC, which will be suitable for AA-LRT. AFC is one of the important technologies in railway transportation around the world. Different countries use different ways of implementation of AFC to their railway transportation. One of the aims of this paper is to study different implementation mechanisms of countries and analyses the best and suitable standard for AA-LRT. The cost analysis should also be considered when such kinds of technologies are implemented. Nowadays, in AA-LRT every train is controlled by a conductor. The conductor will collect money from each passenger and issues tickets and the printed paper or tokens are used as tickets. This process needs man power and the passengers whom are utilizing the transportation services will not be satisfied. Because, they will wait a lot of time on the queuing to get ticket from the cashier. In the proposed system, every AA-LRT stations have one or more RFID (Radio-Frequency Identification) Reader. RFID is a technology whereby digital data encoded in RFID tags or smart labels are captured by a reader through radio waves. The Reader senses the RF signals coming from the passenger identification card and thus recognizes the entry, existence and exit of the passenger. Based on the signals from the card is cut off, the fare of the journey is calculated and is deducted from the passenger’s account, which is linked with the backend system. The RFID card will recharge in different ways, it may recharge from stations, mobile account and/or bank account. The system will deliver an end-to-end solution for fare collection, ticketing, and payments that provides secure and faster transactions, more convenience and smooth passenger flow during peak hours, and efficient collection of fare ensuring no fraud takes place.
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    Reliability, Availability and Maintainability Analysis of Addis Ababa Light Rail Transit Signaling System
    (Addis Ababa University, 2017-07) Alemu, Ayana; Jigsa, Tesfaye (Mr.); Abebe, Teklu (Mr.)
    The railway network is a complex and distributed system with several technologies working together to fulfil the demands on capacity, speed and mobility to transport goods and passengers. The railway transportation system in Addis Ababa, the capital of Ethiopia plays a vital role in sustaining social and economic activities of a country by providing a safe, reliable, environmentally friendly and cost efficient means of transportation for the people. Following the safe, economical and practical principles, the design of Addis Ababa Light Rail Transit (AA-LRT) chooses a reasonable communication and signal system. Quality of transportation system critically depend on the reliability of signaling systems. Despite their numerous advantages, considerable train delays, cancellation, high maintenance cost and passenger dissatisfaction are the main disadvantages of signaling systems failures. Reliability, Availability, and Maintainability (RAM) analysis is a practical technique that uses failure and repair dataset obtained over a reasonable time for dealing with proper signaling system operation, maintenance scheduling, cost control, and improving the availability and performance of signaling systems. This research study and analyse RAM of AA-LRT signaling system with a historical database of failures and repairs of signaling systems was collected in the whole line of AA-LRT over a period of six months operation. After data analysis, it was revealed that the Axle counter subsystem has the highest failure frequency with relatively low availability and the switch has the lowest failure frequency with highest availability. A failure Mode and Effect analysis (FMEA) result shows that the switch is most critical subsystem to cause risk. Similarly, estimating the availability of failed signaling subsystems and equipments indicated that all subsystems have an acceptable availability level of above 96%.