An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities
- Developing an efficient yet cheap and easy to deploy Adaptive Traffic Light Control System (ATLCS) to quickly reduce traffic congestion in city centres during afternoon peak hours.
- Minimising the number of “stop and go” events occurring during a vehicle travel across arterial roads connected to city centres. This is a direct consequence of the developed synchronisation algorithm since the synchronisation is achieved by computing the required delay for switching to the green phase between consecutive traffic lights. Such a delay is computed based on the length of the queue of vehicles waiting at each intersection. Thereby, the stop and go time is minimised.
- Demonstrating the efficiency of our ATLCS through conducting extensive simulation using the most widely used microscopic traffic simulator, SUMO. This includes 50 simulation runs for every scenario to collect statistically representative results.
2. Related Work
3. Proposed ATLCS Design
3.1. Sensors Deployment on Road Networks
3.2. Traffic Light Controller Synchronization Algorithm
3.2.1. Computing the Position and Velocity of a Vehicle
3.2.2. Representing a Queue of Vehicles
- represents the average length of vehicles.
- refers to the gap between two stationary vehicles (one behind the other) in the queue.
- denotes the gap between the vehicle at the head of the queue and the TL location.
- defines the interval between the time at which a vehicle in the queue starts moving and the vehicle right behind it.
- refers to the time when the vehicle at the position k starts moving.
- denotes the time when the vehicle at the position k reaches the speed .
3.2.3. Adjacent Junctions Synchronization
3.2.4. Multiple Junctions Synchronization
4. Performance Evaluation
Conflicts of Interest
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|Road length||300 m|
|Congestion level||Maximum or 100%|
|Vehicle length||4.3 m|
|Gap between vehicles in queue||2.5 m|
|Road speed limit||13.89 m/s–31.07 mph-5-0 km/h|
|Gap between the 1st vehicle||1 m|
|and TL in queue|
|Delay between the start of 2||1 s|
|consecutive vehicles in a queue|
|Vehicle acceleration||2.9 m/s|
|1||240 s (only for TL1)|
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ALEKO, D.R.; Djahel, S. An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities. Information 2020, 11, 119. https://doi.org/10.3390/info11020119
ALEKO DR, Djahel S. An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities. Information. 2020; 11(2):119. https://doi.org/10.3390/info11020119Chicago/Turabian Style
ALEKO, Dex R., and Soufiene Djahel. 2020. "An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities" Information 11, no. 2: 119. https://doi.org/10.3390/info11020119