Oporto: A Realistic Scenario Generator for Moving Objects
Geoinformatica
A Framework for Generating Network-Based Moving Objects
Geoinformatica
On the Generation of Time-Evolving Regional Data
Geoinformatica
On the Generation of Spatiotemporal Datasets
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
A Spatiotemporal Model and Language for Moving Objects on Road Networks
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
SINA: scalable incremental processing of continuous queries in spatio-temporal databases
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Modeling and querying moving objects in networks
The VLDB Journal — The International Journal on Very Large Data Bases
ST--ACTS: a spatio-temporal activity simulator
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
SOLE: scalable on-line execution of continuous queries on spatio-temporal data streams
The VLDB Journal — The International Journal on Very Large Data Bases
A benchmark for evaluating moving object indexes
Proceedings of the VLDB Endowment
Processing probabilistic spatio-temporal range queries over moving objects with uncertainty
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
A Hybrid Prediction Model for Moving Objects
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
GeoLife2.0: A Location-Based Social Networking Service
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
BerlinMOD: a benchmark for moving object databases
The VLDB Journal — The International Journal on Very Large Data Bases
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Mining Group Movement Patterns for Tracking Moving Objects Efficiently
IEEE Transactions on Knowledge and Data Engineering
The design of a benchmark for geo-stream management systems
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
GAMMA: a framework for moving object simulation
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
MDM '12 Proceedings of the 2012 IEEE 13th International Conference on Mobile Data Management (mdm 2012)
GMOBench: a benchmark for generic moving objects
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
ACM SIGSPATIAL GIS Cup 2013: geo-fencing
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Road network traffic datasets have attracted significant attention in the past decade. For instance, in spatio-temporal databases area, researchers harness road network traffic data to evaluate and validate their research. Collecting real traffic datasets is tedious as it usually takes a significant amount of time and effort. Alternatively, many researchers opt to generate synthetic traffic data using existing traffic generation tools, e.g., Brinkhoff and BerlinMOD. Unfortunately, existing road network traffic generators require significant amount of time and effort to install, configure, and run. Moreover, it is not trivial to generate traffic data in arbitrary spatial regions using existing traffic generators. In this paper, we propose Minnesota Traffic Generator (MNTG); an extensible web-based road network traffic generator that overcomes the hurdles of using existing traffic generators. MNTG does not provide a new way to simulate traffic data. Instead, it serves as a wrapper over existing traffic generators, making them easy to use, configure, and run for any arbitrary spatial road region. To generate traffic data, MNTG users just need to use its user-friendly web interface to specify an arbitrary spatial range on the map, select a traffic generator method, and submit the traffic generation request to the server. MNTG dedicated server will receive and process the submitted traffic generation request, and notify the user via email when finished. MNTG users can then download their generated data and/or visualize it on MNTG map interface. MNTG is extensible in two frontiers: (1) It can be easily extended to support various traffic generators. It is already shipped with the two most common traffic generators, Brinkhoff and BerlinMOD, yet, it also has the interface that can be used to add new traffic generators. (2) It can be easily extended to support various road network sources. It is shipped with U.S. Tiger files and Open Street Map, yet, it also has the interface that can be used to add other sources. MNTG is launched as a web service for public use; a prototype can be accessed via http://mntg.cs.umn.edu .