Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning

Table 1

Parameter and passenger volumes per hour for three scenarios.

		Scenario 1	Scenario 2	Scenario 3
Simulation environment		University campus	Industrial zone	Downtown street
Traffic flow		Free flow	Stable flow; unconstrained	Stable flow; interference
Fleet size		1	2	5
Number of stops		5	10	15
Headway (min)		15	10	5
Average stop spacing (m)		450	250	200
Load factors	0.00–0.50	90	270	810
	0.51–0.75	135	405	1215
	0.76–1.00	180	540	1620
	1.01–1.25	225	675	2025
	1.26–1.50	270	810	2430