Alexey Medvedev 1, Petr Fedchenkov 1, Arkady Zaslavsky 2,1, Theodoros Anagnostopoulos 3,1, Sergey Khoruzhnikov 1

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1 Alexey Medvedev 1, 1, Arkady Zaslavsky 2,1, Theodoros Anagnostopoulos 3,1, Sergey Khoruzhnikov 1 1 ITMO University, Kronverkskiy pr., 49, St.-Petersburg, Russia 2 CSIRO, Melbourne, Australia 3 Community Imaging Group, University of Oulu, Oulu, Finland rusmart 2015 Conference, August 26-27, St.-Petersburg, Russia

2 Table of Contents 1. Waste Collection as a part of a Smart City 2. Main features and scenarios of usage 3. System Model Architecture and Applications 4. Experimental Evaluation 5. Conclusion and future work

3 Smart Economy Smart People Smart Governance Smart Mobility Smart City Smart Environment Smart Living

4 Waste Collection The part of Smart Environment Solve a problem of environmental pollution Static and dynamic variants Main problems: scheduling routing IoT-based Waste Collection Service

5 Proposed solution

6 Stakeholders of the system City administration needs understanding of the generating reports, control over pricing District administrations are interested in controlling the process of waste collection, checking quality of service, quick and legal ways for solving disputes and problems Waste trucks owning companies need platform for organizing and optimization of their business process Waste truck drivers need navigation system and reporting problem system Managers of dumps and recycling factories can publish their possibilities Road police can get reports about inaccurate car parking Citizens want to have better service, lower cost and having easy accessible reports

road police The route is dynamically recounted When the problem is

7 Scenario of solving problem Inaccessible waste bin scenario Driver send report via app to organizers of waste collection and to the road police The route is dynamically recounted When the problem is solved the system recounts the route for one of the available trucks

8 System Model Architecture Administration Web-based application Problem solving Waste Management SaaS Reports Map with routes Mobile app Problem reporting Work control OpenStreetMap as map provider Nominatim for direct and reverse geocoding GraphHopper as routing engine JSPRIT as a solver of vehicle routing problem (VRP)

Web-based application For managers and operators with facilities like registering the infrastructure and vehicles, tracking the fleet, mark waste bins as

9 Web-based application For managers and operators with facilities like registering the infrastructure and vehicles, tracking the fleet, mark waste bins as blocked and unblocked etc. For police the way of finding and solving problem of inaccessible For administration show various reports of costs and efficiency

10 Mobile application For drivers Present map with routes and goals Submit information about completed work, transport load and position Submit reports about problems with video or photo evidence

11 Experimental Evaluation JSPRIT`s internal representation of problem with 6 trucks for collecting waste from 24 bins

12 Blocked bins scenario evaluation Time for fleet to take garbage with various present of blocked bins

13 Conclusion and future work The novel cloud-based system for waste collection in smart cities Providing services for different kind of stakeholders involved in this area On-board surveillance cameras and reporting systems Integration with modern ITS and IoT systems Development of applications for city administrations, mun icipal staff, recycling factories and other stakeholders is pla nned to be done in future Thank you for attention!

2. INTELLIGENT WASTE MANAGEMENT

2. INTELLIGENT WASTE MANAGEMENT Challenges and Opportunities of Waste Management in IoTenabled Smart Cities: A Survey Theodoros Anagnostopoulos, Member IEEE, Arkady Zaslavsky, Senior Member IEEE, Kostas Kolomvatsos, Alexey Medvedev,