Flood Mitigation Strategy for Network Transportation in Urban Areas via Implementation of IoT

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Recently, the network transportation system has been susceptible to natural disturbances. These issues has been discussed widely and there have been numerous proposals and studies for assessment, forecasting and implementation of mitigation flash flood for urban network transportation. However, little attention has been focused on the forecasting model in order to accurately predict flash floods via the application of the resilient Internet of Things. These mitigation strategies requires support from the local stakeholders and practitioners such as authority bodies, transportation engineers and emergency rescue teams for the real time flash flood mitigation strategy. There are researches reviewed of dynamic creative and inventive application of the IoT devices in order to cater the challenges of the urban flash flood.

Frequent flash floods in Klang Valley, Malaysia have become more distressing, specifically for road users who are driving and riding during the disaster. According to climate change activists, estimated losses of vehicles are beyond expectation by the government. Our team takes this opportunity seriously in order to prevent the road users' vehicles in Klang Valley from being stranded during a flash flood disaster. Therefore, our proposed prototype system is mainly focused on the network transportation solution during a flash flood disaster in the city area. We have developed an Internet of Things (IoT) device, which will communicate with satellites for early disaster notification. In addition, the device will monitor the ground area for the flash flood level prediction plus the coordinate data from the GPS/GNSS from the satellite. Then, the IoT devices, which will be installed at multiple locations in the network transportation ring with help from the local authorities, will be prepared for the notification from satellite and will send the data to a centralized server for further action. The signal and notification about the stranded route in Klang Valley will be notified via an intelligent navigation platform that is being developed by our team. Further, citizens that are stranded at any area may use our platform to reach the rescue team as well. It is expected that these efforts will reduce the damage costs of vehicles stranded during flash floods.


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  • Name:
    Fitri Yakub
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    In order to establish a resilient network transportation that could handle flash flood disaster, a multi-step framework should be developed. The systematic effort of the mitigation consists of the development of statistical prediction that can be trained dynamically based on the trend of the datasets obtained from the IoT nodes deployed on the real environment. The model performances will be validated and bench marked with the outperform models that have been used in other fields. There are many manipulated variable that can be tune around in order to increase the performance of the model such as manipulation of the weight values of the algorithm, the training parameters such as number of epochs, learning rate and the architecture structural of the model.
  • Software used for this entry:
    AutoCAD, Multisim
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