Abstract
Large amount of money is lost to manipulate traffic system or road congestion worldwide every year. By providing the travel time for a specific road, traffic congestion can be minimized. Many approaches has been taken such Automatic Vehicle Identification, Loop Detectors etc. But this methods are costly. In this paper, A system is proposed that provides traffic intensity level information to the user according to recent traffic data analysis. To minimize the traffic congestion, the paper proposal is to use big data concept in this arena. This proposal develops a structure of a simple XML device which is installed on a vehicle to trace and provide information of traffic intensity. It can estimate travel times in a road network accurately. Further, according to this system anyone can develop application for business process development and increase information transfer to the local user.
| Original language | English (US) |
|---|---|
| Title of host publication | 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479948192 |
| DOIs | |
| State | Published - Oct 8 2014 |
| Event | 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 - Dhaka, Bangladesh Duration: Apr 10 2014 → Apr 12 2014 |
Publication series
| Name | 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 |
|---|
Conference
| Conference | 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014 |
|---|---|
| Country/Territory | Bangladesh |
| City | Dhaka |
| Period | 4/10/14 → 4/12/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering
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