Paper Info
Title
High Capacity Trucks Serving As Mobile Depots For Waste Collection In Iot-Enabled Smart Cities
Abstract
Internet of Things (IoT) enables Smart Cities with novel services. Waste collection in Smart Cities becomes a dynamic process with the proliferation of sensors and actuators embedded on real waste bins. Heterogeneous fleets of trucks are used for efficient waste collection exploiting the diverse road network. In this paper we propose a novel approach by incorporating Low Capacity Trucks (LCTs) and High Capacity Trucks (HCTs). However, HCTs are serving as Mobile Depots (MDs) which are cost efficient and decongest traffic in Smart Cities. A detailed system overview illustrates the architecture of the proposed approach. We also propose novel algorithms which support dynamic waste collection with MDs. Scheduling and routing are transformed to dynamic models. Specifically, we propose a novel scheduling algorithm while we customize an existing routing algorithm. The models where experimentally evaluated with real and synthetic data from the city of St. Petersburg, Russia. The results were promising and proved that the incorporation of MDs is efficient for waste collection in IoT-enabled Smart Cities. Finally, we perform an economic analysis in order to define the economic impact of the proposed solution to the municipality budget for an ownership cost for a period of five years; in which the proposed solution proved to be cost efficient.
Year
DOI
Venue
2015
10.1007/978-3-319-23126-6_8
INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS
Keywords
Field
DocType
Smart cities, Internet of things, Waste collection, Dynamic models, Mobile depots
Truck,Architecture,Economic impact analysis,Scheduling (computing),Computer science,Internet of Things,Transport engineering,Computer network,Synthetic data,Waste collection,Cost efficiency,Distributed computing
Conference
Volume
ISSN
Citations 
9247
0302-9743
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Theodoros Anagnostopoulos115714.54
Arkady B. Zaslavsky2943168.27
Stefanos Georgiou300.68
Sergey Khoruzhnikov4183.83