Abstract
The emergence of LED luminaires that can be dimmed rapidly and frequently enables radical innovations in street lighting automation. It is possible to save considerable amounts of energy by adjusting street lighting according to the movements of individual road users. Since the same lights are often used for illuminating both vehicle lanes and sidewalks, it is necessary to detect both vehicles and pedestrians. A simulation of vehicle and pedestrian traffic is interfaced to a distributed street lighting system based on the IEC 61499 standard, in order to quantify the energy saving potential of a street lighting automation system that exploits real-time sensing information of individual road users while conforming to traffic safety related requirements for road lighting.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1269-1274 |
| Number of pages | 6 |
| ISBN (Print) | 9781479966493 |
| DOIs | |
| State | Published - Sep 28 2015 |
| Event | 13th International Conference on Industrial Informatics, INDIN 2015 - Cambridge, United Kingdom Duration: Jul 22 2015 → Jul 24 2015 |
Other
| Other | 13th International Conference on Industrial Informatics, INDIN 2015 |
|---|---|
| Country | United Kingdom |
| City | Cambridge |
| Period | 7/22/15 → 7/24/15 |
Fingerprint
Keywords
- Energy Efficiency
- IEC 61499
- Intelligent Street Lighting
- LED
- pedestrian cellular automata
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Instrumentation
- Computer Networks and Communications
- Control and Systems Engineering
Cite this
Vehicle and pedestrian aware street lighting automation. / Yang, Chen Wei; Nefedov, Evgeny; Sierla, Seppo; Flikkema, Paul G.
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1269-1274 7281917.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Vehicle and pedestrian aware street lighting automation
AU - Yang, Chen Wei
AU - Nefedov, Evgeny
AU - Sierla, Seppo
AU - Flikkema, Paul G
PY - 2015/9/28
Y1 - 2015/9/28
N2 - The emergence of LED luminaires that can be dimmed rapidly and frequently enables radical innovations in street lighting automation. It is possible to save considerable amounts of energy by adjusting street lighting according to the movements of individual road users. Since the same lights are often used for illuminating both vehicle lanes and sidewalks, it is necessary to detect both vehicles and pedestrians. A simulation of vehicle and pedestrian traffic is interfaced to a distributed street lighting system based on the IEC 61499 standard, in order to quantify the energy saving potential of a street lighting automation system that exploits real-time sensing information of individual road users while conforming to traffic safety related requirements for road lighting.
AB - The emergence of LED luminaires that can be dimmed rapidly and frequently enables radical innovations in street lighting automation. It is possible to save considerable amounts of energy by adjusting street lighting according to the movements of individual road users. Since the same lights are often used for illuminating both vehicle lanes and sidewalks, it is necessary to detect both vehicles and pedestrians. A simulation of vehicle and pedestrian traffic is interfaced to a distributed street lighting system based on the IEC 61499 standard, in order to quantify the energy saving potential of a street lighting automation system that exploits real-time sensing information of individual road users while conforming to traffic safety related requirements for road lighting.
KW - Energy Efficiency
KW - IEC 61499
KW - Intelligent Street Lighting
KW - LED
KW - pedestrian cellular automata
UR - http://www.scopus.com/inward/record.url?scp=84949522413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949522413&partnerID=8YFLogxK
U2 - 10.1109/INDIN.2015.7281917
DO - 10.1109/INDIN.2015.7281917
M3 - Conference contribution
SN - 9781479966493
SP - 1269
EP - 1274
BT - Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -