Bilevel Traffic Evacuation Model and Algorithm Design for Large-Scale Activities

Table 3

Traffic distribution of the proposed bilevel model (A: 50% audience attendance rate).

Number of routes	⁢Evacuated traffic; volume; (pcu)		⁢Road saturation; (%)		⁢Evacuation time; (min)		Detailed evacuation route
	Normal; case	Induced emergencies	Normal; case	Induced emergencies	Normal; case	Induced emergencies
1	92	125	18.1	21.5	5.5	4.3	1-6-7-9-18
2	105	127	32.5	35.7	4.8	4.6	1-3-9-18
3	143	134	40.6	43.8	6.9	5.9	1-2-5-11-12-17-21
4	183	174	36.3	40.7	6.1	5.3	1-2-4-8-19-20-21
5	235	232	50.1	52.4	9.8	7.4	1-6-22-23
6	145	144	36.6	35.6	3.5	4.1	1-13-23
7	156	152	39.3	40.5	6.6	5.5	1-2-5-15-25
8	152	143	45.2	47.8	4.5	3.2	1-13-14-24-25
9	130	137	26.8	35.1	5.3	4.7	2-1-6-7-9-18
10	102	115	42.7	36.6	5.2	3.6	2-4-8-19-18
11	234	215	43.5	39.7	8.7	7.6	2-5-11-12-17-21
12	154	144	39.1	48.2	5.9	4.8	2-5-10-20-21
13	127	124	35.4	36.2	4.4	5	2-1-6-22-23
14	140	132	41.3	49.6	5.2	4.8	2-14-24-23
15	195	187	42.2	48.2	8.8	6.9	2-5-15-25
16	142	150	38.8	38.7	6.9	5.2	2-14-24-25