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Thessaloniki-Thermi, 57001

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Integrated IT productivity and bus lines service quality optimization system – BusGrid

The needs of the traveling public today require better public transport service quality, shorter service times and more information.Unlike the fixed rail (eg underground) the proper management problem bus lines is complex and complicated. In a crowded urban transportation bus is facing a series of unexpected obstacles, delays and possible accidents that make the consistent performance of services extremely difficult. Result of the deviation of a bus line from the program is in the first level, poor service to passengers. Additionally, even if you keep to the timetable, it is not well adapted to passenger demand, broken by frequent wrong way’s transport resources in the day, and contributes directly or indirectly to a significant loss of income for Urban Transport Organization (O.A.S .

The BusGrid system and its objectives

In the context of understanding the above problems, on June 30, 2015 completed the implementation and test pilot project “Integrated information system to optimize productivity and quality bus – BusGrid service”. The project was implemented with the collaboration of Link A.E and Engineering Laboratory Learning and Knowledge Discovery Department of Informatics, Aristotle University and co-financed underDevelopment Program of Industrial Research and Technology (PAVE) 2014.

The project focused on researching and solving the problems faced by urban transport organizations (OAS) that manage bus and involved the construction of integrated information BusGrid system for optimal management of the existing bus fleet of Urban Transport Organization (The .A.S.), with view higher productivity and providing better quality of service to passengers.

Specifically, BusGrid extends a network of telematics sensors on buses fleet of OAS, collecting data in real time, which and processes to produce valuable information for deciding an OAS For example a number of system features such as:

  • Predicting the number of passengers waiting for a bus line for a given stop, time and weather.
  • Findings passenger waiting average time per stop and exporting new indicators such as waiting time in man, which takes into account not only the wait time and the number of passengers.
  • Automatic route generation program for a given line, many buses that serve etc.
  • Ability to design new stations and services and consideration of the demand will be, but production Indicative Programs for the routes being planned.

For the implementation and trial operation BusGrid based on real data from bus lines of Thessaloniki Urban Transport Organization (OASTH) and to existing hardware installation in buses. The Link Technologies as fleet management telematics body OASTH placed modern telematics devices on the buses of the Statute which were used for data collection.

The technological approach of the project

The BusGrid inspired by the methodologies and energy network management technologies (energy grid), considering the complex passenger transportation problem as a high complexity demand network provider which requires bidirectional information for automatic or semi-automatic adaptation to the constant changes in circumstances and always aimed at optimal management.

Optimal management in turn involves two main goals are often conflicting. the highquality of servicepassengers and the high productivity of the line. These two conditions create a set of constraints on network management which the BusGrid can resolve.

Benefits of the project and innovation

The majority of existing fleet management systems for bus lines based on a continuous process of reprogramming, ie import data from humans and usually rely on specialized hardware that is provided for them. Unlike these solutions the BusGrid has a number of innovative knowledge discovery and subsystems of machine learning (machine learning) decreasing the human involvement in producing the desired results. Also, the BusGrid based on common hardware systems (sensors etc.) low intrusiveness and provides advisory active for optimal routing and quality of service indicators such as the average passenger waiting times.

The installation and implementation of a VusGrid buses OAS may allow medium- significantly improve passenger service quality, thus increasing revenue of OAS It can also help to optimize the use of resources of the body and thus reduce the cost for each desired level of service for passengers. Secondarily, the benefits extend throughout the urban environment significantly discharged by reducing private car use, reducing pollution etc.

Through close collaboration with LINK AE AUTH and the recent implementation of BusGrid system, LINK AE is established in research and innovation of the transport project management systems and solutions for OAS

The General Secretariat for Research and Technology, the European Commission and the European Regional Development Fund financed part of the project.

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