Using AVL Data to Improve Transit On-Time Performance

Fabian Cevallos · Xiaobo Wang · Zhenmin Chen · Albert C. Gan

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Transportation Planning and Optimization Traffic control and management Railway Systems and Energy Efficiency

Abstract

This paper describes an approach for improving on-time performance at transit agencies. It takes advantage of the schedule adherence information from an AVL system. A methodology that can be used to update the bus timetables by using AVL schedule adherence data is described. Using statistical analysis, the main goal is to maximize the density area of the on-time performance range. From this distribution, the optimal value is obtained and used to update the times in the timetables. Then, a comparison process is used to assess the on-time performance improvements. In addition, a simulation process is presented to provide a different perspective than the statistical methodology. This approach also presents possibilities for further ontime performance improvements. To demonstrate the applicability of this research, a case study using data from Miami-Dade Transit is included. The on-time performance calculations for Routes 99 and 57 also are presented.

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References

2004Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data 2006Minimizing Transfer Times in Public Transit Network with Genetic Algorithm 2006Using Archived AVL-APC Data to Improve Transit Performance and Management 2003USES OF ARCHIVED AVL-APC DATA TO IMPROVE TRANSIT PERFORMANCE AND MANAGEMENT: REVIEW AND POTENTIAL 2005Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations 1997BUS PERFORMANCE INDICATORS: ON-TIME PERFORMANCE AND SERVICE REGULARITY

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2015Public transit planning and scheduling based on AVL data in China 2015Patch-based Modelling of City-centre Bus Movement with Phase-type Distributions 2019Transit performance assessment based on graph analytics

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