EVALUATION OF THE LEVEL OF SERVICE PROVIDED AT SOME BUS ROUTES IN BAGHDAD CITY

The public transportation system is critical in meeting the demands of the rapidly growing population and increased mobility. Thus, providing and improving public services has become an urgent need in recent years. This study aims to evaluate the level of Baghdad's public transport system using a variety of criteria, including public transport availability, and comfort level. Service level is a method used to develop transport infrastructure labels based on a specific analysis. The importance of evaluating road operational performance services to improve bus service delivery is based on the concept of service level. The relatively high performance of bus service delivery can affect the level of satisfaction of its users. The availability of public transportation is analyzed in terms of frequency, service coverage, and hours. This study assesses the level of service for five specific major bus routes in Baghdad (4, 12, 45, 61, and 113). Survey processes were used to collect data. The results indicate that all lines according to service hours were at the level of service "E". While the service frequency is within the service levels "A", "B", and "C", and transit-auto travel time is within the service levels Class "B", and "C". This study contributes to being a useful guide for developing a comprehensive plan for the level of service and improving the quality of bus service

Operating Time Division for a Bus Route Based on the Recovery of GPS Data

Bus travel time is an important source of data for time of day partition of the bus route. However, in practice, a bus driver may deliberately speed up or slow down on route so as to follow the predetermined timetable. The raw GPS data collected by the GPS device equipped on the bus, as a result, cannot reflect its real operating conditions. To address this concern, this study first develops a method to identify whether there is deliberate speed-up or slow-down movement of a bus. Building upon the relationships between the intersection delay, link travel time, and traffic flow, a recovery method is established for calculating the real bus travel time. Using the dwell time at each stop and the recovered travel time between each of them as the division indexes, a sequential clustering-based time of day partition method is proposed. The effectiveness of the developed method is demonstrated using the data of bus route 63 in Harbin, China. Results show that the partition method can help bus enterprises to design reasonable time of day intervals and significantly improve their level of service