| Issue |
MATEC Web Conf.
Volume 138, 2017
The 6th International Conference of Euro Asia Civil Engineering Forum (EACEF 2017)
|
|
|---|---|---|
| Article Number | 07015 | |
| Number of page(s) | 10 | |
| Section | 7-Transportation Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201713807015 | |
| Published online | 30 December 2017 | |
Internet of Things (IoT) as Green City Economic Development Smart Transportation System
1 Computer Science, Computer System Department, Narotama University, Arief Rachman Hakim No. 51, Surabaya, 60117, Indonesia
2 Computer Science, Informatic System Department, Narotama University, Arief Rachman Hakim No. 51, Surabaya, 60117, Indonesia
3 Economic & Business, Management Department, Narotama University, Arief Rachman Hakim No. 51, Surabaya, 60117, Indonesia
4 Civil Engineering, Civil Department, Narotama University, Arief Rachman Hakim No.51, Surabaya, 60117, Indonesia
* Corresponding author: sri.wiwoho@narotama.ac.id
The number of vehicles in Indonesia based on BPS data in 1987 amounted to 7.98148 million units to 104 118 969 units in 2013. An increase in the number of vehicles by 1304.51% is dominated by a motorcycle which was originally 5,554,305 units to 84,732,652 units. A large number of vehicles adds to problems of traffic regulation on the road. Internet of Things (IoT) can be used as the vehicle detection control device so as to create solutions Green Economic Development City Smart Transportation System that is good in handling motor vehicle. IoT sensor devices produced can identify the vehicles through model of information system connected with the detection system of motor vehicle license plate identification by means of sensors and data are stored in a digital chip which is mounted on any motor vehicle. With the chip of these vehicles will be produced a Green Economic Development City Smart Transportation System for the development of cities, especially in Narotama.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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