Abstract
The previous two chapters discussed the fundamental traffic stream parameters and capacity, which provided the fundamental components for understanding traffic stream performance and for developing models to replicate the operations of traffic streams. For practitioners and policymakers, it is most important to be able to use valid traffic flow models to extract suitable performance measures. Such performance measures are used to evaluate traffic operational performance and select the best alternative for implementation. Therefore, they play a very important role in selecting the projects to be deployed. But what are these performance measures and how should we select the most suitable one(s) for a given situation?
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Problems
Problems
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1.
Use the HCM7 speed–flow–density curves to estimate the travel time for noncongested conditions. Produce a graph showing travel time as a function of demand for a freeway segment with an FFS of 70 mph.
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2.
Use Akcelik’s formula [3] to predict the travel time and plot travel time vs demand.
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3.
A set of travel time data has been collected for a year during the evening peak (4–6 pm) along a freeway route and is provided below. The route length is 3 miles, and the speed limit along this facility is 65 mph. What is the reliability of the facility if on-time arrivals occur for speeds of at least 50 mph? What is the travel time index and buffer time index? What can you conclude about the operations of this facility during the evening peak hour?
Travel time (s) | Frequency |
|---|---|
≤150 | 2 |
(150–180) | 139 |
(180–210) | 226 |
(210–240) | 167 |
(240–270) | 93 |
(270–300) | 65 |
(300–330) | 25 |
(330–360) | 8 |
>360 | 5 |
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4.
Select a traffic microsimulator and determine how it defines the average travel time, delay, and queue length. What time and space boundaries does it use to define these measures?
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5.
Conduct a literature review to find the performance measurement framework used in your city, state, or country to evaluate freeways and arterials. What are the primary measures used for each dimension? Does this framework consider all four dimensions of mobility?
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Elefteriadou, L. (2024). Measuring Mobility: Quality, Quantity, Utilization, and Accessibility. In: An Introduction to Traffic Flow Theory. Springer Optimization and Its Applications, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-031-54030-1_5
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DOI: https://doi.org/10.1007/978-3-031-54030-1_5
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