## 4 Results and Discussions
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Date**} & \multirow{2}{*}{\begin{tabular}{c} **Time of** \\ **Capacity Drop** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Precipitation** \\ **(mm/h)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Speed in** \\ **Congestion** \\ **(km/h)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Critical Density** \\ **Triggering** \\ **Capacity Drop** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Discharge** \\ **Flow Before** \\ **Capacity Drop** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Queue** \\ **Discharge** \\ **Rate (veh/h)** \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Capacity** \\ **Drop (\%)** \\ \end{tabular} } \\  & & & & & & \\ \hline
1 June 2022 & 7.20 & 0 & 41.91 & 77 & 4344 & 3180 & 26.80 \\
9 June 2022 & 6.55 & 0 & 53.96 & 77 & 4746 & 4505 & 5.08 \\
18 April 2022 & 7.00 & 0 & 51.78 & 80 & 4613 & 4119 & 10.71 \\
20 June 2022 & 7.35 & 0 & 50.95 & 75 & 4620 & 4308 & 6.75 \\
17 June 2022 & 7.45 & 0 & 50.40 & 82 & 4326 & 4114 & 4.90 \\
15 August 2022 & 7.00 & 0 & 57.97 & 77 & 4806 & 4728 & 1.62 \\
24 January 2022 & 7.00 & 0 & 37.41 & 79 & 4250 & 2640 & 37.88 \\
29 June 2022 & 7.10 & 0 & 43.90 & 80 & 4068 & 3264 & 19.76 \\
14 June 2022 & 6:45 & 0.2 & 48.13 & 68 & 4440 & 3726 & 16.08 \\
28 June 2022 & 6:40 & 0.2 & 45.95 & 64 & 4509 & 3728 & 17.32 \\
6 October 2022 & 6:40 & 0.2 & 54.61 & 64 & 4560 & 4368 & 4.21 \\
7 October 2022 & 6:50 & 0.2 & 49.35 & 68 & 4932 & 3928 & 20.36 \\
24 November 2022 & 6:50 & 0.2 & 45.42 & 64 & 4332 & 3324 & 23.27 \\
17 May 2022 & 6:40 & 0.4 & 46.16 & 65 & 4392 & 3336 & 24.04 \\
15 June 2022 & 7:00 & 1.4 & 46.65 & 66 & 4464 & 3852 & 13.71 \\
26 September 2022 & 6:30 & 5.4 & 49.68 & 66 & 4248 & 3870 & 8.90 \\
27 September 2022 & 7:00 & 5.6 & 53.74 & 67 & 4620 & 4316 & 6.58 \\
22 June 2022 & 7:05 & 5.8 & 32.50 & 64 & 4152 & 2200 & 47.01 \\
7 June 2022 & 7:15 & 9.4 & 46.74 & 64 & 4776 & 3795 & 20.54 \\
30 June 2022 & 6:50 & 11.4 & 54.96 & 65 & 4776 & 4602 & 3.64 \\
3 October 2022 & 6:30 & 14.2 & 55.35 & 67 & 4716 & 4440 & 5.85 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Precipitation, speed in congestion, flow rates, and the capacity drop at the bottleneck. simulations. Once the threshold is adjusted for bad weather conditions, traffic management strategies of this nature can be used with more accuracy. Discharge flows before the capacity drop and the accompanying queue discharge rates are shown in columns 6 and 7, respectively. The flows persist for at least 10 min and, in most cases, for more than 15 min. While there is a considerable difference across days, the occurrence of a capacity drop is common. The range of the capacity drop in terms of % reduction from the pre-queue capacity is between 1.62 and 47%. It will be shown later that these capacity drops highly correlate with the accompanying speeds in congestion. While [PERSON], [PERSON], and [PERSON] [13] conclude that the queue discharge rate increases with increasing speed in congestion, they mentioned that the effects of site characteristics, traffic flow compositions, and weather need to be calibrated in relation to the capacity drop. In fitting the linear relationship, they excluded those collected on a rainy day as it gave a lower queue discharge rate than those collected on clear weather conditions. However, this was only a single event. In this current study, when other bad weather conditions are included in the correlation analysis representing different speeds in congestion, it can be seen that there is not much difference in the linear correlation. When the speed in congestion is plotted against the queue discharge rate using all the data points collected under different rainfall conditions, the correlation of the coefficient is 0.96 with the function Queue Discharge Rate = 103.21 (Speed in Congestion) \(-\) 1175.2 (Figure 3).