project introduction


The research group is a joint group of researchers from the University of Tampere, Tampere University of Technology, and Sichuan University cooperating with ITS factory, the city of Tampere, Tampere Public Transport, and Imtech. The research focus areas include gathering, storing and analyzing open traffic data such as real-time bus movement data and traffic signals data. We are working on Big Data pre-processing and processing, providing data access to the public, creating descriptive and predictive models to analyze the data and to be utilized in various applications.


bus

Bus data

The city of Tampere has recently made the real-time one-per-second bus movements’ data free for the use by software developers. These data are actually open to the public but it is quite hard to access and understand raw data without a preliminary study and a convenient tool to capture them. According to our experience, raw data should be cleaned before usage and possibly converted to a more understandable form. One of the research tasks of our team is to analyze the data and create algorithms and models which can be applied in Web-based and mobile applications. The research includes different methods of applied statistics to understand, describe, and predict data. A number of models and recommendations are proposed in our publications.

red light

Traffic signals data

Vehicle detectors and traffic light signals can contribute significantly to traffic data analysis. In the city of Tampere, traffic light and vehicle detecting equipment is served by Imtech. Being our project partner, Imtech has opened the corresponding data to us since July 2014. These data present an important source of information for the traffic analysis. For example, such issues as the efficiency of green light requests from buses or ambulances' ability to cross the junctions can be estimated. The traffic situation on junctions can be reproduced based on the real-time traffic signal data. How does traffic intelligence control the traffic? We shall know more from traffic signals' data analysis.

bicycle

Sensors in motion

Applications for commuters, especially those using bicycles, are limited at the moment in terms of functionality, usefulness and entertainment value. We will gather real-time knowledge about human-powered transport, public transport and city conditions and offer it to users in a useful and entertaining way. To do this, we utilize different types of sensors to gather information. These sensors can be stationary but can also move with the users. A moving sensor can be for example attached to a bicycle to monitor road conditions and air quality. This data is combined with public transport data and other external data, and is delivered to users in a ways that provide them with useful knowledge as well as entertainment value through game like features.

our work

News

news December 2015
December, 2015

Open Finland Challenge award

Our Tampere Open Trip Planner with estimation of bus connection chance was awarded in the Mobility and Tourism category of Open Finland Challenge competion taken place in Helsinki, December 2015. 151 records in 5 categories were submitted to Open Finland Challenge this year. Open Finland Challenge aims at finding the best applications, services, concepts, and ideas supporting active citizenship, improving services or enabling a more open and efficient government. Check the full list of the awards. We are happy that our application was recognized to show a new horizon of risk management for existing trip planners.

news November 2015
November, 2015

Traffic Lights Data API in Slush Ultrahack 2015

Our Traffic Lights Data API was introduced as the bonus 6-Aika Open Challenge of Mobility as a Service (MaaS) track in Slush Ultrahack 2015 that happened in Helsinki on 6-8 November, 2015. The winner of 6-Aika Open Challenge became a project "Patterns" by Juha Järvi and Andreas Osowski. We congratulate the team on the victory and hope that Juha and Andreas will continue developing their application. Check their web application Patterns. Photo by Mika Vuorio.

news December 2014
December, 2014

The honorable mention in "Apps4Finland"

This year we had a team with Tero Piirainen and Juha Lundan in Apps for Finland and created an application for easing the use of public bus timetables and search for proper routes on the spot by bus travellers. Check the application here: Ajoissa Pysäkillä

We are hoping to bring this idea to the transportation authorities of the city of Tampere. We are pleased that this application got a honorable mention in the competition Apps4Finland 2014

September, 2014

Project webpage launch

We are happy to inform you about launching our project's webpage. Currently it includes a description of our project, its research areas, our products such as publications and applications, our news and a description of our team.

Presentation


The presentation about our work can be downloaded here. As the main results, we have a number of publications and provide three services to the public. At the moment all our applications are beta versions which are going to be developed futher in the future.

Applications


Traffic Lights Data API

Traffic Lights Data API for Tampere and Oulu provides real-time traffic signals and detectors data in Tampere and Oulu. Currently the real-time data are provided from only 7 junctions of Tampere and 2 junctions of Oulu, but all the data are going to be open soon. Read more about API in the description.

In addition to the API description, you can find the relevant information about the transportation system of Tampere in the catalog of the city of Tampere:

Check the applications using the API to see how the data usage examples:

Traffic Lights and Bus Tracker

Bus and traffic light animation shows real-time bus movements and traffic light signals at the intersections of the city of Tampere. At the pilot stage, Satakunnankatu Street was chosen for studying and testing traffic light data, although the further plan is to include all the intersections of Tampere to the animation in the future.

Tampere OTP

Tampere Open Trip Planner enables public transport customers to plan their trips in a more reliable way by provideing the chance of connection in multi-leg bus journeys. Check the menu "ABOUT" in the application to get a short instruction.

Beta files distribution

Bus data distribution service produces a CSV list of data entries matching all of the chosen filters. Filtering options include bus line number, date and time, map coordinates and days of the week. ZIP compression can also be applied to save bandwidth at the expense of some additional processing time. Queries are limited to 1000 results each.

TKL info

TKL info is a Twitter based applications which enables users to send short reports of traffic problems (e.g. accidents, traffic jams, road works) in an easy way. It also monitors Twitter in order to detect and forward tweets containing relevant traffic information. The mobile application is available only for Android at the moment, but reports can be sent from any Twitter account. Please refer to the "Contribute" section on the TKL info site for more information about how to submit reports. We warmly appreciate any input!

Publications


[1] Kerminen, R., Hakulinen, E., Nummenmaa, J., Syrjärinne, P., & Visa, A. (2014). Analysis of bus delays in Tampere using real-time data. Proceedings of the 10th ITS European Congress . Helsinki, Finland

[2] Thanisch, P., Nummenmaa, J., Syrjärinne, P., Kerminen, R., and Hakulinen, E. (2014). Risking the Public Transportation Connection. Proceedings of the 10th ITS European Congress. Helsinki, Finland

[3] Syrjärinne, P., Thanisch, P., Nummenmaa, J., Betekhtina, E., Piirainen, T., and Lundan, J. (2015). Data based bus schedules. Proceedings of the ITS World Congress 2015, to be published. Bordeaux, France

[4] Syrjärinne, P., and Nummenmaa, J. (2015). Improving usability of open public transportation data. Proceedings of the ITS World Congress 2015, to be published. Bordeaux, France

[5] Syrjärinne, P., Nummenmaa, J., Thanisch, P., Kerminen, R., and Hakulinen, E. (2015). Analyzing traffic fluency from bus data. IET Intelligent Transport Systems, accepted to a future issue

[6] Betekhtina, E., Nummenmaa, J., and Syrjärinne, P. (2015). Prediction of successful bus connection based on Bayesian analysis. To be submitted

our team

Jyrki Nummenmaa

Jyrki Nummenmaa

Role: project manager, University of Tampere

Research field: traffic signals and bus data analysis, Big Data processing

Contact information: jyrki@sis.uta.fi

Timo Nummenmaa

Role: researcher, University of Tampere

Research field: gathering, storing and gamification of bus and bicycle data

Contact information: timo.nummenmaa@uta.fi

Timo Nummenmaa
Paula Syrjarinne

Paula Syrjärinne

Role: researcher, University of Tampere

Research field: traffic signals and bus data analysis, data plotting

Contact information: paula.syrjarinne@uta.fi

Riitta Kerminen

Role: researcher, Tampere University of Technology

Research field: traffic signals and bus data analysis, data plotting

Contact information: riitta.kerminen@tut.fi

Riitta Kerminen
Peter Thanisch

Peter Thanisch

Role: researcher, University of Tampere

Research field: traffic signals and bus data analysis, data plotting

Contact information: pt@sis.uta.fi

Lei Duan

Role: researcher, Sichuan University

Research field: sequence data analysis, contrast data mining, outlier detection

Contact information: leiduan@scu.edu.cn

Lei Duan
Elena Betekhtina

Elena Betekhtina

Role: research assistant, University of Tampere

Research field: traffic signals and bus data analysis, data storing and mining

Contact information: betekhtina.elena.x@student.uta.fi

Chenlu Wang

Role: research assistant, University of Tampere

Research field: traffic signals data and bus data analysis, data animation, data plotting

Contact information: wang.chenlu.x@student.uta.fi

Chenlu Wang
Yibin Qian

Yibin Qian

Role: research assistant, Tampere University of Technology

Research field: data storing and processing

Contact information: yibin.qian@student.tut.fi

Mykola Andrushchenko

Role: research assistant, University of Tampere

Research field: bus data distribution, bicycle data gathering

Contact information: mykola.andrushchenko@uta.fi

Mykola Andrushchenko
Xia Wu

Xia Wu

Role: Master's degree student, Sichuan University

Research field: sequence data analysis, contrast data mining, outlier detection

Contact information: 2013wuxia@gmail.com

Yaowei Hu

Role: Master's degree student, Sichuan University

Research field: sequence data analysis, contrast data mining, outlier detection

Contact information: huyaowei1992@qq.com

Yaowei Hu

useful information

contact information

  • 9:30 AM to 4:30 PM
  • Kalevantie 4, FI-33014 University of Tampere, Finland
  • +358 3 355 111
  • jyrki@sis.uta.fi

Powered by W3layouts