Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning

Table 2

Configurations of simulation data in single-intersection case.

SL no.	Traffic conditions	Directions	Number of vehicles	Time interval (s)	Flow rate (veh/h)
1	Evenly distributed steady traffic	South–North	500	0–3600	500
		North–South	500	0–3600	500
		West–East	500	0–3600	500
		East–West	500	0–3600	500
		North–East	500	0–3600	500
		East–South	500	0–3600	500
		South–West	500	0–3600	500
		West–North	500	0–3600	500
2	Simply direction changing traffic	South–North	400	0–1800	800
		North–South	400	0–1800	800
		West–East	400	1800–3600	800
		East–West	400	1800–3600	800
		North–East	400	0–1800	800
		East–South	400	1800–3600	800
		South–West	400	0–1800	800
		West–North	400	1800–3600	800
3	Unevenly distributed steady traffic	South–North	500	0–3600	500
		North–South	500	0–3600	500
		West–East	250	0–3600	250
		East–West	250	0–3600	250
		North–East	500	0–3600	500
		East–South	250	0–3600	250
		South–West	500	0–3600	500
		West–North	250	0–3600	250