Literature Database Entry

ramzy2019calculation

A. Ramzy, A. Awad, A. A. Kamel, O. Hegazy and S. Sakr, "Calculation of Average Road Speed Based on Car-to-Car Messaging," Proceedings of 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), Kyoto, Japan, February 2019, pp. 1–8.

Abstract

Arrival time prediction provided by most of navigation systems is affected by several factors, such as road condition, travel time, weather condition, car speed, etc. These predictions are mainly based on historical data. Systems that provide near-real-time road condition updates, e.g. Google Maps, depend on crowdsourcing GPS data from cars or mobile devices on the road. GPS data thus has a long journey to travel from their sources to the analytics engine on the cloud before a status update is sent back to the client. Between the time taken for GPS data to be broadcast, received and processed, significant changes in road conditions can take place and would still be unreported, leading to wrong decisions on the route to choose. Road condition, especially average speed of cars, monitoring is of a local and continuous nature. It needs to be accomplished near GPS stream data sources to reduce latency and increase the accuracy of reporting. Solutions based on geo-distributed road monitoring, using Fog-computing paradigm, provide lower latency and higher accuracy than centralized (cloud-based) approaches. Yet, they require a heavy investment and a large infrastructure, which might be a limit for its utility in some countries, e.g. Egypt. In this paper, we propose a more dynamic approach to continuously update average speed on the road. The computation is done locally on the client device, e.g. the traveling car or the mobile device of the traveler. We compare, through simulation, our proposed approach to the fog-computing-based traffic monitoring. Simulation results give an empirical evidence on the correctness of our results compared to fog-based speed calculation.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

A. Ramzy
A. Awad
A. A. Kamel
O. Hegazy
S. Sakr

BibTeX reference

@inproceedings{ramzy2019calculation,
    author = {Ramzy, A. and Awad, A. and Kamel, A. A. and Hegazy, O. and Sakr, S.},
    doi = {10.1109/BIGCOMP.2019.8679294},
    title = {{Calculation of Average Road Speed Based on Car-to-Car Messaging}},
    pages = {1--8},
    publisher = {IEEE},
    address = {Kyoto, Japan},
    booktitle = {2019 IEEE International Conference on Big Data and Smart Computing (BigComp)},
    month = {2},
    year = {2019},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.