AutoWaze: Towards automatic event inference in intelligent transportation systems

Ning Wang, Yunsheng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traffic monitoring is one of the key challenges in Intelligent Transportation Systems (ITS). In this paper, we propose to build a crowdsourcing application for traffic monitoring. The novelty of the proposed approach is that visual data is collected to enable automatic event inference with the recent advance in Computer Vision. The challenge is that mobile devices are not capable of handling visual task processing in high accuracy. We propose to build a networked system so that mobile devices can offload data via available wireless access interfaces (e.g., 4G LTE, WiFi, DSRC) to edge servers, e.g., GENI Rack. We plan to use the testbed at Kettering University to validate the proposed approach.

Original languageEnglish (US)
Title of host publication27th IEEE International Conference on Network Protocols, ICNP 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728127002
DOIs
StatePublished - Oct 2019
Event27th IEEE International Conference on Network Protocols, ICNP 2019 - Chicago, United States
Duration: Oct 7 2019Oct 10 2019

Publication series

NameProceedings - International Conference on Network Protocols, ICNP
Volume2019-October
ISSN (Print)1092-1648

Conference

Conference27th IEEE International Conference on Network Protocols, ICNP 2019
Country/TerritoryUnited States
CityChicago
Period10/7/1910/10/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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