Ontology based performance evaluation of public transport systems

Offering high levels of quality of service (e.g. punctuality and frequency) and performance (e.g. effectiveness and efficiency) for users of public transport systems is a great challenge for governments and transportation authorities. Various research works have been conducted to develop criteria to evaluate the performance of Public Transport Systems (PTS). However, there is still a need to design and develop decision support tools that both encompass and take advantage of the increasing number and diversity of the suggested Key Performance Indicators (KPI) and performance evaluation methods. The main purpose of this paper is to develop a decision support system that relies on ontologies to represent, capture, store and use knowledge to evaluate the performance of PTS. An implementation of the system is also presented and discussed.

[1]  Maurizio Lenzerini Ontology-based data management , 2011, CIKM '11.

[2]  Timothy F Welch,et al.  Performance indicators for public transit connectivity in multi-modal transportation networks , 2012 .

[3]  Bernhard Lorenz,et al.  Ontology of Transportation Networks , 2005 .

[4]  Nicola Guarino,et al.  Understanding and building, using ontologies , 1997, Int. J. Hum. Comput. Stud..

[5]  Abolghasem Sadeghi-Niaraki,et al.  Ontology based personalized route planning system using a multi-criteria decision making approach , 2009, Expert Syst. Appl..

[6]  Yousef Shafahi,et al.  Transfer optimization in transit networks: Headway and departure time coordination , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[7]  Chunhua Yang,et al.  An Improved Model for Headway-Based Bus Service Unreliability Prevention with Vehicle Load Capacity Constraint at Bus Stops , 2012 .

[8]  Martin L. King,et al.  Towards a Methodology for Building Ontologies , 1995 .

[9]  Stephen F. Smith,et al.  An Ontology for Multi-Modal Transportation Planning and Scheduling , 1999 .

[10]  Luis Ferreira,et al.  Evaluating transit quality of service for transit oriented development (TOD) , 2007 .

[11]  Nicola Guarino UNDERSTANDING, BUILDING, AND USING ONTOLOGIES , 1997 .

[12]  Cristián E. Cortés,et al.  Hybrid predictive control for real-time optimization of public transport systems' operations based on evolutionary multi-objective optimization , 2010 .

[13]  Sabine Timpf Ontologies of Wayfinding: a Traveler's Perspective , 2002 .

[14]  Ricardo Giesen,et al.  Real-Time Control of Buses in a Transit Corridor Based on Vehicle Holding and Boarding Limits , 2009 .

[15]  Qing Liu,et al.  Real-Time Optimization Model for Dynamic Scheduling of Transit Operations , 2003 .

[16]  Graham Currie,et al.  Using GPS Data to Gain Insight into Public Transport Travel Time Variability , 2010 .

[17]  Giovanni Longo,et al.  Estimation of Transit Reliability Level-of-Service Based on Automatic Vehicle Location Data , 2005 .

[18]  Yunlong Zhang,et al.  Analyzing Urban Bus Service Reliability at the Stop, Route and Network Levels , 2009 .

[19]  Mark A. Turnquist,et al.  Service frequency, schedule reliability and passenger wait times at transit stops , 1981 .

[20]  Qin CHEN,et al.  AN INVESTIGATION IN REAL-TIME BUS HOLDING POLICY , 2010 .

[21]  Ricardo Giesen,et al.  How much can holding and/or limiting boarding improve transit performance? , 2012 .

[22]  Laura Cecilia Cham Understanding bus service reliability : a practical framework using AVL/APC data , 2006 .

[23]  Khaled Ghédira,et al.  Distributed decision evaluation model in public transportation systems , 2008, Eng. Appl. Artif. Intell..

[24]  M. Fernández-López,et al.  Overview of methodologies for building ontologies , 1999, IJCAI 1999.

[25]  Randy B Machemehl,et al.  OPTIMAL TRANSIT ROUTE NETWORK DESIGN PROBLEM: ALGORITHMS, IMPLEMENTATIONS, AND NUMERICAL RESULTS , 2004 .

[26]  Anitha Eranki,et al.  A Model to Create Bus Timetables to Attain Maximum Synchronization Considering Waiting Times at Transfer Stops , 2004 .

[27]  Sabeur Elkosantini,et al.  Intelligent Public Transportation Systems: A review of architectures and enabling technologies , 2013, International Conference on Advanced Learning Technologies.

[28]  Huijun Sun,et al.  A continuous equilibrium network design model and algorithm for transit systems , 2004 .