Queue time analysis on transport vehicles along Governor's Drive in Cavite / by Krystel L. Rodrin and Mary Carell D. Saba.

Thesis (Bachelor of Science in Industrial Engineering) Cavite State University

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

RODRIN, KRYSTEL L. and SABA, MARY CARELL D., Queue Time Analysis on Transport Vehicles Along Governor's Drive in Cavite. Undergraduate Thesis. Bachelor of Science in Industrial Engineering. Cavite State University, Indang, Cavite. May 2018. Prepared under the supervision of Ms. Mary Joyce P. Alcazar.
This study was conducted to identify the procedure in the analysis of queue time on transport vehicles along Governor's Drive in Cavite from August 2017 to April 2018 in Cavite. Specifically, it aimed to: (1) present the data gathered by the researchers on the queue time in terms of traffic volume count and queuing theory; (2) estimate the created queue time by the transport vehicles considering trip travel time and Geographic Information System (GIS); (3) determine the locations and causes of potential traffic congestion, and (4) state possible recommendations that the researchers can provide to traffic congestion along Governor's Drive in Cavite. Data were gathered through the use of manual hand tally counter and closed-circuit television (CCTV) for traffic volume count on six intersections located in the following areas: (1) San Roque and (2) Ibayo Silangan, Naic; (3) San Agustin, Trece Mart es City; (4) Manggahan, General Trias City; (5) Pala-pala Road, Dasmarinas City; and (6) Carmona Bypass Road, Carmona. On the other hand, stopwatch and recording sheet were the media in identifying the queue time of transport vehicles along Governor's Drive in Cavite by conducting a field simulation. The interpretation of data was reflected with the application of queuing theory and establishing a choropleth map based on the computed average speed. Potential locations of traffic congestion were identified through the traffic intensity. Likewise, potential causes were identified through the delays observed. Considering all the data gathered by the researchers, recommendations were provided as a part of the queue time analysis along Governor's Drive in Cavite. After the analysis, the researchers concluded that Trece — Manggahan route yields the highest number of traffic volume count and Trece Ibayo Silangan route has the lowest value of traffic volume count. When it comes to queuing theory with single-channel queuing system, there is highest value of traffic intensity at Manggahan Trece route during morning and afternoon peak hour, whereas Manggahan — Pala-pala during midday peak hour. Future traffic flow of vehicles along Governor's Drive in Cavite were forecasted using multi-channel queuing model. When it comes to trip travel time, three modes of transportation varied differently between 2.97 to 25.52 minutes where private vehicle can be said as the fastest mode of transportation compared to others. Based on field simulation, potential causes of traffic congestion were categorized as: loading and unloading of passengers, traffic jam, waiting, and other delays such as waiting for the traffic light to change colors and waiting for the public transportation to fill in the gasoline at the gas station. In these delays, traffic jam has the highest percentage among others. Recommendations that were suggested can be used by the traffic management team to reduce the traffic and to have a proper planning for the different areas along Governor's Drive in Cavite.

Submitted copy to the University Library. 07/02/2018 T-7441