An Ontology Based Benchmarking Platform for Public Transportation Control Systems

Abstract Many researchers have been interested in designing efficient decision support systems (DSS) to maintain the performance of public transport systems at acceptable levels. Unfortunately, there is still a lack of systems that enable the assessment and benchmarking of such DSS. In this paper, we suggest an ontology based benchmark system for the assessment of public transport control systems. It will enable the storage and the reuse of knowledge related to scenarios and performance indicators. The suggested platform will be developed using open source software (multi-agent platform and simulation tools). The architecture and its main modules are presented.

[1]  Saber Darmoul,et al.  Artificial immunity to control disturbances in public transportation systems: Concepts, mechanisms and a prototype implementation of a knowledge based decision support system , 2014, Knowl. Based Syst..

[2]  David Chenho Kung,et al.  Formal approach to scenario analysis , 1994, IEEE Software.

[3]  Konstantinos G. Zografos,et al.  BE LOGIC: Benchmarking Logistics Chains , 2012 .

[4]  Paulo Leitão,et al.  Benchmarking flexible job-shop scheduling and control systems , 2013 .

[5]  Haris N. Koutsopoulos,et al.  Hybrid Mesoscopic-Microscopic Traffic Simulation , 2004 .

[6]  Jerry Banks,et al.  Principles of Simulation , 2007, Introduction to Stochastic Processes and Simulation.

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

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

[9]  Flavien Balbo,et al.  Using intelligent agents for Transportation Regulation Support System design , 2010 .

[10]  Julien Coquio,et al.  Disruptions in Public Transport and Role of Information , 2013 .

[11]  J W Bates.  DEFINITION OF PRACTICES FOR BUS TRANSIT ON-TIME PERFORMANCE: PRELIMINARY STUDY , 1986 .

[12]  Lamjed Ben Said,et al.  A survey of simulation platforms for the assessment of public transport control systems , 2014, 2014 International Conference on Advanced Logistics and Transport (ICALT).

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

[14]  Johanna Törnquist Krasemann.  Design of an Effective Algorithm for Fast Response to the Rescheduling of Railway Traffic During Disturbances , 2012 .

[15]  Matthias Jarke,et al.  Scenarios in System Development: Current Practice , 1998, IEEE Softw..

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

[17]  Corinne Mulley,et al.  Development of a methodology for benchmarking public transportation organisations: a practical tool based on an industry sound methodology , 2006 .

[18]  Karim Bouamrane,et al.  A Making-Decision System for an Urban Transportation Network , 2005 .

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