Abstract

Transportation plays a vital role in the development of a country and the car is the most commonly used means. However, in third world countries long waiting time for public buses is a common problem, especially when people need to switch buses. The problem becomes critical when one considers buses joining different villages and cities. Theoretically this problem can be solved by assigning more buses on the route, which is not possible due to economical problem. Another option is to schedule the buses so that customers who want to switch buses at junction cities need not have to wait long. This paper discusses how to model single frequency routes bus timetabling as a fuzzy multiobjective optimization problem and how to solve it using preference-based genetic algorithm by assigning appropriate fuzzy preference to the need of the customers. The idea will be elaborated with an example.

Highlights

  • Transportation system is the backbone of a country’s economy

  • If we consider Addis Ababa, the capital of Ethiopia, the public transportation system is mainly provided by buses, which is affordable compared to taxis

  • It is provided by Anbesa City Bus service, which is run by the government

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Summary

INTRODUCTION

Transportation system is the backbone of a country’s economy. Unlike developed countries, the transportation problem is widely spread in the third world countries. There are people who use one bus and switch to another bus when they reach one city or village This problem can be solved by assigning as many buses as necessary on each route and or assigning another means of transportation. This paper discusses and shows how to model setting the timetabling of buses joining different cities, with the objective of minimizing the waiting time of customers who want to switch buses at junction villages, as a fuzzy multiobjective optimization problem and how to Promet – Traffic&Transportation, Vol 24, 2012, No 3, 183-191.

The problem
Multiobjective optimization
Preference-based genetic algorithm
FUZZY MULTIOBJECTIVE FORMULATION OF THE PROBLEM
SOLVING THE PROBLEM BY USING THE PREFERENCE-BASED GENETIC ALGORITHM
HYPOTHETICAL EXAMPLE
D A tuAL wLAD tuLK wKAD 2
CONCLUSION
Full Text
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