Civil Engineering September 2021 | Vol 29 No 8

36 September 2021 Civil Engineering Moisture content / humidity 180 (a) Humidity data 160 140 120 100 80 60 40 20 0 Time 11:42:16 AM 5:35:37 PM 4:53:52 AM 11:00:03 AM 11:39:26 AM 11:35:45 AM 11:10:40 AM 10:45:13 AM 10:32:16 AM 10:30:00 AM 11:05:03 AM 11:52:37 AM 12:21:01 PM 12:50:28 PM 1:06:57 PM 12:59:31 PM 12:50:45 PM 1:01:07 PM 12:43:58 PM 12:45:47 PM 12:36:07 PM 12:38:07 PM 12:20:30 PM 12:33:32 PM 12:14:25 PM 12:03:37 PM 11:42:14 AM 11:24:09 AM 11:15:27 AM 11:34:57 AM 11:44:06 AM 1:02:59 PM Temperature 180 (b) Temperature data 160 140 120 100 80 60 40 20 0 Time 11:42:16 AM 5:35:37 PM 4:53:52 AM 11:00:03 AM 11:39:26 AM 11:35:45 AM 11:10:40 AM 10:45:13 AM 10:32:16 AM 10:30:00 AM 11:05:03 AM 11:52:37 AM 12:21:01 PM 12:50:28 PM 1:06:57 PM 12:59:31 PM 12:50:45 PM 1:01:07 PM 12:43:58 PM 12:45:47 PM 12:36:07 PM 12:38:07 PM 12:20:30 PM 12:33:32 PM 12:14:25 PM 12:03:37 PM 11:42:14 AM 11:24:09 AM 11:15:27 AM 11:34:57 AM 11:44:06 AM 1:02:59 PM Figure 2 Temperature and moisture content obtained from the smart pavement instrumentation under traffic loading 3.2. CRITIC Method. Diakoulaki et al. [20] introduced the CRITIC method as a tool for determining the objective r ij � x ij − min i x ij max x ij min x ij if j B max , ( ) Recognizing needs for research Forming a database Field exploration I Forming the MCDM model Sorting data for each alternative Creating a list of criteria Creating an initial decision matrix Development of the novel integrated MCDM model: CRITIC-DEA-MARCOS model Evaluation of alternatives Calculation of criteria weights CRITIC MARCOS method Sensitivity analysis Changing criteria weights w j Using separately DEA-1, DEA-2 and CRITIC for determining criteria weights Comparing with other MCDM methods: ARAS, MABAC, SAW, WASPAS, and EDAS Calculation of SCC and ST DEV DEA-1 DEA-2 Reverse rank matrix Data collection III IV II Figure 1: Research flow with a developed model for traffic safety evaluation. 4 Mathematical Problems in Engineering Figure 3 Research flow and integrated MCDM model for traffic safety evaluation