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20150317CIU2015seto
This document discusses a study conducted in Japan to collect and utilize real-time geographic information from local government vehicles like snow plows. Researchers equipped vehicles with smartphones running an app to automatically log driving data like location, speed and time. This data was uploaded and visualized online. The study aimed to test using open-source mapping and apps to support local governments. It conducted case studies in two cities, tracking snow plow distances and times. While challenges remained, the goal was to achieve cooperation between governments and residents by making such real-time geographic data more open and accessible.
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20150317CIU2015seto
- 1. Collection and Utilizationof Real-time Geographic Information for Road Management by Local Governments Toshikazu Seto*, Yoshihide Sekimoto, Yuki Fukushima :1 Kenji Sato and Koichi Yagi :2 1 1: CSIS, the University of Tokyo 2: BumpRecorder Co., Ltd. International Symposium on Cartography in Internet and Ubiquitous Environments @ UT 2015.03.18
- 2. 2 2014-02-18 The 68thLab. Sources: http://www.geoforall.org/locations/ More Open-ness of Geo-Technology !!
- 3. The Important ofGeospatial Open Data 3 Sources: https://www.gov.uk/government/publications/open-data-charter
- 4. The Status ofJapanese Open Data 4 Sources: https://index.okfn.org/country/overview/Japan/
- 5. Background & Purposes •The policy of Open Government and Open Data in cooperation with citizens must be met. To do so, administrators have an increasing need for GIS methods and local geographic information. • In this study, we used a low cost measurable tool kit and free-use online mapping visualization for official vehicles (mainly snow plow and checking road condition). • Our experimental plan provided equipment for the purpose of monitoring real-time situations and relaying geographical data to governments. 5 ➔ Verification of Open-source Cloud Mapping and Smartphone Application for Supporting Local Government
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- 7. Method 7 Automatically upload drivinglog Public vehicle / snow plow convert Analysis Online Visualization (semi-openness) • Customized to take the automatically log when set the smartphone terminal to the car. • Since many of the contractors are unfamiliar with the smartphone, necessary to minimize the operation has occurred. Bump Recorder Web
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- 9. 9 Muroran City: 10cars Snow Depth Ave. of Jan.-Feb.: 25cm
- 10. 10 Tobetsu Town: 10plows Snow Depth Ave. of Jan.-Feb.: 120cm
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- 12. Tobetsu: Plow Distance (40Days, Total: 434.8km) 0 5000 10000 15000 20000 25000 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 1/7 1/9 1/11 1/13 1/15 1/17 1/19 1/21 1/23 1/25 1/27 1/29 1/31 2/2 2/4 2/6 2/8 2/10 2/12 2/14 2/16 2/18 2/20 2/22 2/24 2/26 2/28 SUM AVE （ｍ）
- 13. 13 Muroran City: 10cars Driving Log and car’s average speed
- 14. 14 Tobetsu Town: 10plows Driving Log and plow’s average speed
- 15. 15 Plow & Carthe Average of Driving Time 24h Muroran-city Tobetsu-town
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- 17. Muroran City MovingVisualization 17
- 18. Tobetsu Town MovingVisualization 18
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- 20. Issues • Utilization ofthe smartphone and Android application can be achieved and online mapping at low cost and on different types of vehicles. Also, we try to create time- space mapping on the cartodb. • However to challenges of data integrity and continuity, it was not at this time possible to make real-time data publicly available. • On the local government side feedback, it is possible to publish these data as open data, it was seeking to streamline inquiry correspondence to public services. • However, because it could not be measured continuously (battery and machine operation), it was not open data.
- 21. Conclusions & FeatureWorks • Originally, this information was intended to provide accountability (transparency) and reciprocity with regard to the policy of Open Government and Open Data for residents. • Future goals also include adjusting the smartphone application so that reports from government and/or residents (cf. Minneapolis, Chicago and Boston…). • In this way, we may achieve the desired cooperation between government and residents for collection and management of real-time geographical information. -> MORE EASY to USE and REALTIME VISUALIZATION
- 22.
- 23. 23 Thank you forAttention & Happy Mapping ! @tosseto tosseto@csis.u-tokyo.ac.jp http://researchmap.jp/tosseto
Editor's Notes
- #2 Thank you chair. I am glad to talk on ICA conference and welcome to Tokyo. I am focusing GIS and Society and VGI field.
- #3 Today, the use of online map has expanded dramatically. Part of the cloud services are made as open source. ICA has also committed to Geo for ALL, there is a need for a new attempt on the map technology.
- #4 Also In recent years, the concept of “open data” has attracted attention from government agencies in the United States, Europe, and Japan, as well as from international organizations such as the United Nations, OECD, and the World Bank. In June 2013, the Open Data Charter was publish at the G8 Lough Erne Summit and release of high value of geospatial and also public transport data.
- #5 However, the distribution trend of open data has been investigated in recent years, including the Open Data Census 2013 (Global Open Data Index) of Open Knowledge and World Wide Web Foundation’s Open Data Barometer of 2015. The former is mainly organized by country (recently by city), and has made efforts to score the situation of open data based on 10 open data fields, while the latter is scored by country using an index of 13 factors based on readability.
- #6 The policy of Open Government and Open Data in cooperation with citizens must be met. To do so, administrators have an increasing need for GIS methods and local geographic information. Our experimental plan provided equipment for the purpose of monitoring (semi) real-time situations and relaying geographical data to governments. In this study, we used a low cost measurable tool kit and moving visualization for official vehicles (snow plow). Also, Verification of Open-source Cloud Mapping and Smartphone Application for Supporting Local Government
- #8 This study used low cost device and application for snow plowing activity in North Japan. Software operating through android smartphones from BumpRecorder, utilized an application for monitoring changing road conditions. We automatically customized to take the log when you set the smartphone terminal to the car. However, we have also seen many problems such as failure or battery is low by vehicle type. Since many of the contractors are unfamiliar with the smartphone, necessary to minimize the operation has occurred. Also we try to analysis and create animation by the Open-source Desktop and Web GIS systems.
- #9 For our case study, we selected two city in Hokkaido. Our purpose was to enable Hokkaido administrators to manage winter road conditions for the public in a timely manner. Firstly, we used Bump recorder for real-time monitoring. This system is developed archive and online statistic mapping system. Administrator is allow download driving log of automatically uploaded smartphone.
- #10 It is shows the two months of driving route of 10 official cars in Muroran. Here, since the amount of snow among Hokkaido is relatively small, usually fitted with a measuring terminal to the official car. Center of Muroran is southeast side, but the vehicle of No1 and No5 you can see how it was towards the margins.
- #11 Another one, Tobetsu Although we used 10 snow plow cars. This area usually 1m or more of snowfall, here was attached to a particular snowplow. Because each snow removal vehicles route is fixed, in charge range has clearly separated.
- #12 The illustrates the temporal change of the distance. There was also the day that you do not run at all during the period, because there was a heavy snow day in early January and late, it was noticeable in the graph.
- #13 Although Tobetsu traveling distance is relatively short, the average distance of each vehicle runs on a daily basis was also similar.
- #14 If snow flow, the slower generally running speed. If the traveling speed data to visualize on the map, in the case of Muroran it can be seen that low average distance traveled around the city.
- #15 Tobetsu is more pronounced, in other part of the main road is found to be traveled by the following average speed 10km. In particular, it can be seen that you are traveling well as narrow road in the north of the residential area.
- #16 Next, consider the amount of time driving. This figure shows the time started runnNext, consider the amount of time driving. This figure shows the time started running of 24 hours. It can be seen that it was running on time in the early morning from the evening in Tobetsu.
- #17 Now, we are show the advanced geo-visualization. This is a easy to create animation of time-space mapping using cartodb.
- #21 Utilization of the smartphone and Android application can be achieved and online mapping at low cost and on different types of vehicles. Also, we try to create time-space mapping on the cartodb. However to challenges of data integrity and continuity, it was not at this time possible to make real-time data publicly available. On the local government side, it is possible to publish these data as open data, it was seeking to streamline inquiry correspondence to public services. However, because it could not be measured continuously (battery and machine operation), it was not open data.
- #22 Originally, this information was intended to provide accountability (transparency) and reciprocity with regard to the policy of Open Government and Open Data for residents. Future goals also include adjusting the smartphone application so that reports from government and/or residents (cf. Minneapolis, Chicago and Boston…). In this way, we may achieve the desired cooperation between government and residents for collection and management of real-time geographical information. -> MORE EASY to USE and REALTIME VISUALIZATION
- #23 the city’s Plow Tracker data obtained and parsed by the team at clearstreets.org. “scraped” data on where the city’s 300 plows were located over the duration of the snowstorm from 1day of Febrary. The locations were then colorized and sped up to create a heatmap that plays back the paths that plows took over that time period. The result is a vibrant animation showing snow plow activity during and after some of the heaviest snowfall: