Data for Bus Service and Operations Planning Sample Clauses

Data for Bus Service and Operations Planning. Technology has significantly evolved in the past decades and transportation systems have evolved along with it. Different systems have been created such as Automatic Vehicle Location (AVL), Automatic Passenger Counters (APC), and Automated Fare Collection (AFC) to automatize bus operations and providing a vast amount of data that can be used for transit planners to make better and accurate decisions related to transit service (Xxxxxxxx, 2011). This study can be useful for transit agencies that want to expand their public transit service, but they have limited resources of buses and operators. This thesis focuses on the importance of collecting data for an improved bus service planning process (Xxxxxxxx, 2011). A portion of the MBTA network serving the Boston suburbs of Somerville and Medford is used as a case study. This consists of 18 bus routes in Somerville and Medford, Massachusetts, using several types of automated data collection systems (ADCS)-based performance indicators. It evaluates several service scenarios using GIRO's NetPlan software package, which is a sketch service planning and timetabling tool linked to its HASTUS scheduling system with a major goal of determining the number of required buses. The results of the ridership and running time analyses were used as inputs into the bus service scenario planning process. First, the existing bus schedule was slightly changed allowing the service to adjust to any deficiencies encountered through an interlining process. Then, performing an analysis of the AVL data, current running times were adjusted to enhance reliability. In addition, based on demand, the frequency of two service change scenarios were modified, routes that serve the same route segments were synchronized, and selected changes in routing were incorporated (Xxxxxxxx, 2011). As per Xxxxxxxx, (2011), there are many elements that affect the scheduled and observed running times:
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