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

Table 4

Traffic distribution of the proposed bilevel model (B: 70% 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	112	157	29.4	37.4	5.9	3.6	1-6-7-9-18
2	132	164	35.7	39.2	5.5	4.2	1-3-9-18
3	210	223	60.2	58.3	8.7	6.8	1-2-5-11-12-17-21
4	211	197	48.3	50.2	7.4	6.1	1-2-4-8-19-20-21
5	276	298	61.6	77.9	11.1	9.3	1-6-22-23
6	253	275	49.4	60.1	6.3	5.2	1-13-23
7	248	227	54.1	57.2	7.2	4.3	1-2-5-15-25
8	239	206	51.9	50.7	6.1	3.9	1-13-14-24-25
9	207	195	34.7	41.2	5.2	5	2-1-6-7-9-18
10	243	252	61.6	65.3	6.6	5.7	2-4-8-19-18
11	250	236	56.1	65.8	12.3	9.3	2-5-11-12-17-21
12	189	167	45.5	47.2	7.7	5.4	2-5-10-20-21
13	202	237	58.2	63.7	5.5	4.5	2-1-6-22-23
14	265	239	50.6	53.6	8.4	5.8	2-14-24-23
15	217	189	55.5	60.8	8.2	7.1	2-5-15-25
16	155	147	41.9	55.3	5.3	4.2	2-14-24-25