AutoWaze: Towards automatic event inference in intelligent transportation systems

Ning Wang; Yunsheng Wang

doi:10.1109/ICNP.2019.8888059

AutoWaze: Towards automatic event inference in intelligent transportation systems

Ning Wang, Yunsheng Wang

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	27th IEEE International Conference on Network Protocols, ICNP 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728127002
DOIs	https://doi.org/10.1109/ICNP.2019.8888059
State	Published - Oct 2019
Event	27th IEEE International Conference on Network Protocols, ICNP 2019 - Chicago, United States Duration: Oct 7 2019 → Oct 10 2019

Publication series

Name	Proceedings - International Conference on Network Protocols, ICNP
Volume	2019-October
ISSN (Print)	1092-1648

Conference

Conference	27th IEEE International Conference on Network Protocols, ICNP 2019
Country/Territory	United States
City	Chicago
Period	10/7/19 → 10/10/19

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1109/ICNP.2019.8888059

Cite this

@inproceedings{d4bdeac8a1a64d3bb1a3663cf95bbd8f,

title = "AutoWaze: Towards automatic event inference in intelligent transportation systems",

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.",

author = "Ning Wang and Yunsheng Wang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th IEEE International Conference on Network Protocols, ICNP 2019 ; Conference date: 07-10-2019 Through 10-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ICNP.2019.8888059",

language = "English (US)",

series = "Proceedings - International Conference on Network Protocols, ICNP",

publisher = "IEEE Computer Society",

booktitle = "27th IEEE International Conference on Network Protocols, ICNP 2019",

address = "United States",

}

Wang, N & Wang, Y 2019, AutoWaze: Towards automatic event inference in intelligent transportation systems. in 27th IEEE International Conference on Network Protocols, ICNP 2019., 8888059, Proceedings - International Conference on Network Protocols, ICNP, vol. 2019-October, IEEE Computer Society, 27th IEEE International Conference on Network Protocols, ICNP 2019, Chicago, United States, 10/7/19. https://doi.org/10.1109/ICNP.2019.8888059

AutoWaze: Towards automatic event inference in intelligent transportation systems. / Wang, Ning; Wang, Yunsheng.
27th IEEE International Conference on Network Protocols, ICNP 2019. IEEE Computer Society, 2019. 8888059 (Proceedings - International Conference on Network Protocols, ICNP; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - AutoWaze

T2 - 27th IEEE International Conference on Network Protocols, ICNP 2019

AU - Wang, Ning

AU - Wang, Yunsheng

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85075002753&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85075002753&partnerID=8YFLogxK

U2 - 10.1109/ICNP.2019.8888059

DO - 10.1109/ICNP.2019.8888059

M3 - Conference contribution

AN - SCOPUS:85075002753

T3 - Proceedings - International Conference on Network Protocols, ICNP

BT - 27th IEEE International Conference on Network Protocols, ICNP 2019

PB - IEEE Computer Society

Y2 - 7 October 2019 through 10 October 2019

ER -

AutoWaze: Towards automatic event inference in intelligent transportation systems

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this