Traffic Light Controlling for Emergency Vehicle Line Based on GPS Tracking and Position Using GPRS Network Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/1566/1/012014
In big and metropolitan city, traffic jam is common problem and often to be occured. And that is the most critical problem for emergency vehicles. Where time and urgency are the most priority to be handled. In this research, emergency vehicle was utilized with any GPS device. The vehicle tracking service is provided for real time tracking. We use open source vehicle tracking framework/server Traccar. The same as with common GPS device, the emergency vehicle continusously sends its latitude, longitude and speed to GPS server. The research focused on Traffic Light Device which built of ESP32 microcontroller, GPRS module Air202 and battery power supply with charging function. While emergency vehicle reports its position to GPS server, the traffic light device continuously checks the emergency vehicle’s position data from the GPS server. The idea is to take the advantage of GPS server API, where traffic light device using HTTP GET communication with implementation of embedded cookies, session and keep alive to access the GPS server API. Traffic light device then calculates straight distance to emergency vehicle based on its predefined fixed latitude and longitude. If emergency vehicle located within the user defined threshold radius of traffic light device, then the traffic light turn green to allow emergency vehicle for passed its line. As the result of this research, traffic light device has been successfully read emergency vehicle device’s location data and measured their distance within 1 to 2 seconds.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1566/1/012014
- OA Status
- diamond
- Cited By
- 4
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3039744450
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3039744450Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/1566/1/012014Digital Object Identifier
- Title
-
Traffic Light Controlling for Emergency Vehicle Line Based on GPS Tracking and Position Using GPRS NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-06-01Full publication date if available
- Authors
-
Seniman, Niskarto Zendrato, Dedy Arisandi, Fahrurrozi LubisList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/1566/1/012014Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/1566/1/012014Direct OA link when available
- Concepts
-
Global Positioning System, General Packet Radio Service, Computer science, Real-time computing, Vehicle tracking system, Emergency vehicle, GPS tracking server, Assisted GPS, Telecommunications, Wireless, Artificial intelligence, Kalman filter, Gps receiverTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.allow | 205 |
| abstract_inverted_index.based | 176 |
| abstract_inverted_index.built | 94 |
| abstract_inverted_index.city, | 5 |
| abstract_inverted_index.fixed | 180 |
| abstract_inverted_index.green | 203 |
| abstract_inverted_index.light | 119, 145, 167, 196, 201, 219 |
| abstract_inverted_index.line. | 211 |
| abstract_inverted_index.often | 12 |
| abstract_inverted_index.power | 103 |
| abstract_inverted_index.sends | 77 |
| abstract_inverted_index.speed | 82 |
| abstract_inverted_index.their | 232 |
| abstract_inverted_index.using | 147 |
| abstract_inverted_index.where | 143 |
| abstract_inverted_index.which | 93 |
| abstract_inverted_index.Air202 | 100 |
| abstract_inverted_index.Device | 92 |
| abstract_inverted_index.access | 161 |
| abstract_inverted_index.checks | 122 |
| abstract_inverted_index.common | 9, 70 |
| abstract_inverted_index.device | 120, 146, 168, 220 |
| abstract_inverted_index.module | 99 |
| abstract_inverted_index.passed | 209 |
| abstract_inverted_index.radius | 193 |
| abstract_inverted_index.result | 214 |
| abstract_inverted_index.server | 141, 164 |
| abstract_inverted_index.source | 61 |
| abstract_inverted_index.supply | 104 |
| abstract_inverted_index.within | 188, 234 |
| abstract_inverted_index.Traffic | 90, 166 |
| abstract_inverted_index.battery | 102 |
| abstract_inverted_index.defined | 191 |
| abstract_inverted_index.device, | 72, 197 |
| abstract_inverted_index.device. | 47 |
| abstract_inverted_index.focused | 88 |
| abstract_inverted_index.located | 187 |
| abstract_inverted_index.problem | 10, 22 |
| abstract_inverted_index.reports | 111 |
| abstract_inverted_index.server, | 116 |
| abstract_inverted_index.server. | 85, 131 |
| abstract_inverted_index.service | 51 |
| abstract_inverted_index.session | 156 |
| abstract_inverted_index.traffic | 6, 118, 144, 195, 200, 218 |
| abstract_inverted_index.urgency | 29 |
| abstract_inverted_index.vehicle | 41, 49, 62, 75, 110, 175, 186, 207, 226 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Traccar. | 65 |
| abstract_inverted_index.charging | 106 |
| abstract_inverted_index.cookies, | 155 |
| abstract_inverted_index.critical | 21 |
| abstract_inverted_index.distance | 172, 233 |
| abstract_inverted_index.embedded | 154 |
| abstract_inverted_index.handled. | 36 |
| abstract_inverted_index.latitude | 181 |
| abstract_inverted_index.location | 228 |
| abstract_inverted_index.measured | 231 |
| abstract_inverted_index.occured. | 15 |
| abstract_inverted_index.position | 113, 126 |
| abstract_inverted_index.priority | 33 |
| abstract_inverted_index.provided | 53 |
| abstract_inverted_index.research | 87 |
| abstract_inverted_index.seconds. | 238 |
| abstract_inverted_index.straight | 171 |
| abstract_inverted_index.tracking | 50, 63 |
| abstract_inverted_index.utilized | 43 |
| abstract_inverted_index.advantage | 138 |
| abstract_inverted_index.emergency | 24, 40, 74, 109, 124, 174, 185, 206, 225 |
| abstract_inverted_index.function. | 107 |
| abstract_inverted_index.latitude, | 79 |
| abstract_inverted_index.longitude | 80 |
| abstract_inverted_index.research, | 39, 217 |
| abstract_inverted_index.threshold | 192 |
| abstract_inverted_index.tracking. | 57 |
| abstract_inverted_index.vehicles. | 25 |
| abstract_inverted_index.calculates | 170 |
| abstract_inverted_index.device’s | 227 |
| abstract_inverted_index.longitude. | 183 |
| abstract_inverted_index.predefined | 179 |
| abstract_inverted_index.vehicle’s | 125 |
| abstract_inverted_index.continuously | 121 |
| abstract_inverted_index.metropolitan | 4 |
| abstract_inverted_index.successfully | 223 |
| abstract_inverted_index.communication | 150 |
| abstract_inverted_index.continusously | 76 |
| abstract_inverted_index.implementation | 152 |
| abstract_inverted_index.framework/server | 64 |
| abstract_inverted_index.microcontroller, | 97 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5019358110, https://openalex.org/A5030672359, https://openalex.org/A5074732265 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I1323252656 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.50233791 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |