# A Systematic Review: To Increase Transportation Infrastructure Resilience to Flooding Events
## 3 Results
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Study** & **Study Title:** & **Year:** & **Authors:** & **Country of Study Area:** & **Journal:** \\ \hline
12 & Failure of Grass Covered Flood Defences with & & & \\ Roads on Top Due to Wave Overtopping: A & 2018 & [PERSON], & Netherlands & _Journal of Marine Science and Engineering_ \\  & Probabilistic Assessment Method [148] & & & \\ \hline
13 & An Evaluation Of Soil Condition And Flood Risk & & & \\ For Road Network Of Bangladesh—Compiled & & & & \\ From Engineering Soil Maps and Digital & & & & \\ Elevation Model [149] & & & & \\ \hline
14 & Flood and substance transportation analysis using & & & \\ satellite elevation data: A case study in Dhaka city, & 2017 & [PERSON], & Bangladesh & _Journal of Disaster Research_ \\  & Bangladesh [150] & & & \\ \hline
15 & Enhancing the effectiveness of flood road gauges & & & \\ with color coding [151] & & & & \\ \hline
16 & A study on the use of polyurethane for road flood & & & \\ damage control [152] & & & & \\ \hline
17 & A dynamic model for road protection against & & & \\ flooding [153] & & & & \\ \hline
18 & Road submergence during flooding and its effect & & & \\ on subgrade strength [154] & & & & \\ \hline
19 & Assessment of commuters’ daily exposure to flash & & & \\ flooding over the roads of the Gard region, & 2016 & [PERSON], & France & _Journal of Hydrology_ \\  & France [155] & & & \\ \hline
20 & Safety criteria for the trafficability of inundated & & & \\  & roads in urban floodings [156] & & & \\ \hline
21 & Study on the use of obstructing objects to diffuse & & & \\ flood water velocity during road crossing [157] & & & & \\ \hline
22 & Projected impacts of land use and road network & & & \\ changes on increasing flood hazards using a 4D & 2014 & [PERSON], & Saudi Arabia & _Arabian Journal_ \\  & GIS: A case study in Makkath metropolitan area, & & & \\ Saudi Arabia [158] & & & & \\ \hline
23 & The Relationship between the Urban Road Flood & & & \\ Protection Capacity and the Lake Sandbox Based & 2014 & [PERSON], & & \\  & on Internet of Things [159] & & & \\ \hline
24 & Urban Flood Reconstruction Using Bloggers\({}^{\prime}\) & & & \\  & Posting on Road Inundations [160] & & & \\ \hline
25 & Improved methodology for processing raw LiDAR & & & \\  & data to support urban flood & & & \\  & modelling—accounting for elevated roads and bridges [161] & & & \\ \hline
26 & Probabilistic graphical models for flood state & & & \\  & detection of roads combining imagery and & 2012 & [PERSON], & South Africa & _IEEE Geoscience and Remote Sensing Letters_ \\  & DEM [162] & & & \\ \hline
27 & Utilisation of lime activated GGBS to reduce the & & & \\ deleterious effect of flooding on stabilised road & 2011 & [PERSON], & & \\ structural materials: A laboratory simulation [163] & & & & \\ \hline
28 & Urban flooding: one-dimensional modelling of the & & & \\ distribution of the discharges through cross-road & 2010 & [PERSON], & France & _Water Science \& Technology_ \\  & intersections accounting for energy losses [164] & & & \\ \hline
29 & Water vapor transportation over China and its & & & \\ relationship with drought and flood in the Yangtze & 2009 & [PERSON], & China & _Journal of Geographical Sciences_ \\  & River Basin [165] & & & \\ \hline
30 & Effects of forest roads on flood flows in the & 2000 & [PERSON] and & USA & _Earth Surface Processes and Landforms_ \\  & Deschutes River, Washington [166] & & & \\ \hline
31 & Effect of maximum flood width on road drainage & 1997 & [PERSON] and & Singapore & _Water Science \& Technology_ \\  & inlet spacing [167] & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 7: _Cont._[PERSON], [PERSON], et al. (2020) developed a single double-ended neural network architecture that analyzed two types of data (i.e., metadata, image) that contained passable roadways from tweets. This enabled analysis of both data simultaneously which reduced processing time that would aid in emergency support by greater understanding of roads in flood events [139]. [PERSON], et al.