DEVELOPMENT OF OPTIMAL BUS SCHEDULE FOR BOSSO AND GIDAN-KWANO CAMPUSES, FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA USING GENETIC ALGORITHM

Abstract

ABSTRACT The poor academic performance of students also traced to inadequate hostels to accommodate students in the main campus making large number of them to stay at Bosso campus. Adequate CCTV data (travel demand and travel time) of student intercampus movement were used for optimal development of the university Bus transit management. Using Genetic Algorithms (GA), the following results were obtained. 19 number of 18 (154 trips), 11 of 35 (44 trips) and 15 of 60 (34 trips) sitting capacity buses with respective travel time of 40, 50 and 60 minutes are required at the current traffic and road conditions. This led to generating four (4) different optimal Bus scheduled representing Bosso and GK for both lecture and examination seasons with their corresponding net cost for the Bus management. At every fifteen (15) minutes, a set of Bus(es) were made to depart with the maximum possible number of passengers to ensured no delay in transiting between the campuses. By imploring these scheduled, a net total of N185,000 would be obtained during lecture season per day to effectively transport 2562 students and the amount would increase by 289% during examination season.