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Incident Management Strategies – Case Study – Traffic Engineering – Engineering Assignment

Internal Code: TV648

Engineering Assignment- Case Study:

Once the multi-layered model was calibrated and validated the analytical predictive model could then be built. Three different patterns were created to represent the typical traffic scenarios which included an average weekday, a Saturday and a Sunday traffic scenario. The pattern uses the sliced 15-minute matrices from the macro and departure adjustment and applies them over a 24-hour period. The average weekday profile was calculated based on the RDS from Tuesday-Thursday because those days provide the most consistent flows. The average weekday traffic to account for different routes used and different matrices used throughout the 24 hour period. The average weekday has been split into five intervals: Pre AM (midnight to 7 am), AM (7 am to 9 am), Off Peak (9 am to 16 pm), PM (16 pm to 18 pm) and Post PM (18 pm to midnight). Figure 10 is the demand profile showing the 15 minute matrices for the predictive model. The average Saturday traffic uses
three intervals midnight to 8 am, 8 am to 8 pm and 8 pm to midnight with Figure 11 showing the demand profile Saturday traffic. The Sunday traffic uses three intervals midnight to 9.00am, 9 am to 9 pm and 9 pm to midnight.


1) How it will affect the road or traffic network in transportation pattern and results need to be generated

2)  Lay the foundation for further work. In contrast, a Calculation section represents a practical development from a theoretical basis.


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