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

Table 5

Traffic distribution of the proposed bilevel model (C: 100% 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	248	332	47.5	78.3	9.4	4	1-6-7-9-18
2	309	281	61.4	75.2	10.2	5.5	1-3-9-18
3	326	405	63.4	70.3	16.5	7.4	1-2-5-11-12-17-21
4	344	307	73.7	81.2	15.7	8.7	1-2-4-8-19-20-21
5	419	328	75.6	80	9.3	4.4	1-6-22-23
6	328	320	60.9	71.1	6.7	3.1	1-13-23
7	272	246	59.3	68.8	10.5	4.6	1-2-5-15-25
8	352	321	68.5	70.5	15	6.2	1-13-14-24-25
9	257	325	49.3	65.4	10.9	5	2-1-6-7-9-18
10	265	238	57.5	67.7	11.2	5.1	2-4-8-19-18
11	324	312	74.1	88.6	18.1	11.6	2-5-11-12-17-21
12	333	229	62.3	68.8	16.7	7.8	2-5-10-20-21
13	250	306	56.6	65.5	10.2	4.9	2-1-6-22-23
14	322	260	61.6	72.9	10.1	4.6	2-14-24-23
15	258	238	60.8	72.3	13.5	5.8	2-5-15-25
16	263	422	62.6	80.7	10.8	5.2	2-14-24-25