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This dissertation investigates the impacts of Dynamic Speed Harmonization (DSH) strategies in mixed traffic flow involving Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs),
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01
Gather necessary data on current speed performance.
02
Identify the dynamic speed harmonization tool or software you will be using.
03
Open the tool and navigate to the input section for speed parameters.
04
Enter the baseline speed metrics for the system or network.
05
Input the varying speed loads expected during operation.
06
Adjust the harmonization parameters according to your optimization goals.
07
Review your entries for accuracy and completeness.
08
Save your settings and run a simulation if possible.
09
Analyze the output to ensure the desired harmonization is achieved.

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01
Network engineers managing data transmission.
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Traffic control systems in urban planning.
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Dynamic speed harmonization refers to the process of adjusting speed limits on roads based on real-time traffic conditions to enhance safety and efficiency.
Typically, transportation agencies or local government authorities responsible for managing road systems and safety are required to file dynamic speed harmonization reports.
To fill out dynamic speed harmonization, one must gather real-time traffic data, determine optimal speed limits based on that data, and input the findings into the designated reporting format.
The purpose of dynamic speed harmonization is to improve road safety, reduce traffic congestion, and enhance overall traffic flow by adapting speed limits to current driving conditions.
Information that must be reported includes real-time traffic speeds, observed driving behavior, implementation guidelines for speed adjustments, and any relevant safety metrics.
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Dynamic Speed Harmonization Connected Vehicles Traffic Flow Optimization Reinforcement Learning Safety Evaluation Mobility Improvement Environmental Sustainability Traffic Congestion Vehicle-to-Everything Deep Learning in Transportation

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