Real-time traffic monitoring (RTM) system is one of the key components of the Intelligent Transportation Systems that can aid traffic operators to timely implement congestion mitigation countermeasures. As such, the intent of this algorithm is to leverage open crowdsourced traffic data by developing a RTM tool. The developed tool has three main tasks to complete: collecting real-time travel time data using an Application Programming Interface (API), processing this data, and visualizing different operational performance measures on a dashboard based on this evaluation. Several operational performance indicators, such as the travel time reliability, average speed, delays, and level of service are displayed on the dashboard. These performance indicators were estimated following the procedures recommended in the Highway Capacity Manual 6th Edition (HCM-6). The developed tool also is capable of generating a report based on a specified period of analysis. To implement the proposed tool, an arterial corridor located in Tallahassee, Florida, namely US-90, was used to develop the RTM tool. The developed tool can help practitioners to continuously monitor traffic conditions at a lower cost. Furthermore, the real-time traffic information obtained from the dashboard will assist traffic operators and planners to implement intelligent congestion mitigation countermeasures.
Methods: Data Analysis (Python), Spatial Analysis (Geopandas), and Visualization (Dash/Plotly)
Report from a Dashboard: Data Analysis (Python), Spatial Analysis (Geopandas), and
Visualization (Dash/Plotly)