Use of IoT-Based Technologies for Determination of Traffic Congestion on Road Infrastructure

Road congestion is mostly common in developing countries where the traffic is heterogeneous and where there is no proper lane discipline. Typical and live traffic state can be identified with the help of IoT-based technologies such as traffic state feature in Google Maps. One can also identify congestion points using this live traffic state which varies through different times of the day and affect road capacity. In this research, the congestion points that were identified by Google Maps are examined by conducting a route-specific survey. The survey is conducted at different times on weekdays and weekends to assess the variably in number of congestion points. In this research, the relationship is established between congestion points and traffic volume at different times of the day and a Chi-square test is performed to check the significance of this relationship. The result shows that the congestion points are significantly related to traffic demand which is higher at one time and lower at another. The result also shows that the trip purpose and trip direction significantly affect the traffic demand at different times of the day.