ADAPTIVE TRAFFIC LIGHT CYCLE TIME CONTROLLER USING MICROCONTROLLERS AND CROWDSOURCE DATA OF GOOGLE APIs FOR DEVELOPING COUNTRIES
| Autor: | Devanjan Bhattacharya, Sumit Mishra, Ankit Gupta, Vaibhav Raj Singh |
|---|---|
| Přispěvatelé: | NOVA Information Management School (NOVA IMS), Information Management Research Center (MagIC) - NOVA Information Management School |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Computer science 020209 energy Real-time computing 02 engineering and technology Environmental Science (miscellaneous) lcsh:Technology 0203 mechanical engineering Control theory Earth and Planetary Sciences (miscellaneous) 0202 electrical engineering electronic engineering information engineering real-time traffic signaling Instrumentation (computer programming) agent-based traffic modeling Instrumentation Google Traffic API lcsh:T congestion Information processing lcsh:TA1501-1820 020302 automobile design & engineering Signal timing traffic light controller Microcontroller Traffic congestion lcsh:TA1-2040 Control system ZigBee communication board SDG 9 - Industry Innovation and Infrastructure Timer lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Mishra, S, Bhattacharya, D, Gupta, A & Singh, V R 2018, Adaptive traffic light cycle time controller using microcontrollers and crowdsource data of Google APIs for developing countries . in 3rd International Conference on Smart Data and Smart Cities, 4–5 October 2018, Delft, The Netherlands . 4/W7 edn, vol. 4, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 83-90, 3rd International Conference on Smart Data and Smart Cities, SDSC 2018, Delft, Netherlands, 4/10/18 . https://doi.org/10.5194/isprs-annals-IV-4-W7-83-2018 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W7, Pp 83-90 (2018) |
| ISSN: | 2194-9050 |
| DOI: | 10.5194/isprs-annals-iv-4-w7-83-2018 |
| Popis: | Mishra, S., Bhattacharya, D., Gupta, A., & Singh, V. R. (2018). Adaptive traffic light cycle time controller using microcontrollers and crwodsource data of Google APIs for developing countries. In 3rd International Conference on Smart Data and Smart Cities (4/W7 ed., Vol. 4, pp. 83-90). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). DOI: 10.5194/isprs-annals-IV-4-W7-83-2018 Controlling of traffic signals optimally helps in avoiding traffic jams as vehicle volume density changes on temporally short and spatially small scales. Nowadays, due to embedded system development with the rising standards of computational technology, condense electronics boards as well as software packages, system can be developed for controlling cycle time in real time. At present, the traffic control systems in India lack intelligence and act as an open-loop control system, with no feedback or sensing network, due to the high costs involved. This paper aims to improve the traffic control system by integrating different technologies to provide intelligent feedback to the existing network with congestion status adapting to the changing traffic density patterns. The system presented in this paper aims to sense real-time traffic congestion around the traffic light using Google API crowdsource data and hence avoids infrastructure cost of sensors. Subsequently, it manipulates the signal timing by triggering and conveying information to the timer control system. Generic information processing and communication hardware system designed in this paper has been tested and found to be functional for a pilot run in real time. Both simulation and hardware trials show the transmission of required information with an average time delay of 1.2 seconds that is comparatively very small considering cycle time. publishersversion published |
| Databáze: | OpenAIRE |
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