Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick...

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Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick Norman W. Garrick

Transcript of Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick...

Page 1: Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick Norman W. Garrick.

Interpreting Demand and Capacity for Street and Highway

Design

Lecture 6CE 5720

Norman Garrick

Norman W. Garrick

Page 2: Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick Norman W. Garrick.

Norman W. Garrick

Travel Flow Data Some Basic Concepts

Good travel flow data for all modes of travel is important for transportation design.

One of the challenges is that travel flow varies significantly in both space and time. We often do not have data at a fine enough resolution to fully capture these variations. It is important to understand the likely variations in order to effectively interpreter the available data

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Temporal Variation in Traffic Flow

Traffic flow vary by time of day, day of week, month of year and from year to year.

The pattern of variation depends on the specific location. For example, the temporal variation of traffic in Storrs is likely to be different from that in Willimantic.

Monday to ThursdaySaturday

http://www.ptt.uni-duisburg.de/en/projekte/babnrw/daten/

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Norman W. Garrick

Temporal Variation in Traffic Flow

One solution that is some times used to reduce temporal variation is differential pricing.

For example, many transit systems charge a higher rate for travel before 10 am and after 3 pm. This helps encourage people that have flexible plans to delay their travel to the off peak time.

This is the same approach used on some toll roads where the plan is know as congestion pricing.

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Spatial Variation in Traffic Flow

http://www.interstate-guide.com/images/i-077_va_aadt.gif

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Directional in Traffic FlowDirectional Variation

Reversible lanes in the middle to deal with a severe directional variation.

(I believe this is just conceptual – I don’t know of any example of reversible lanes implemented in this manner.

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Directional Distribution

In many urban areas trips are mostly going towards the central business district in the morning and from the CBD in the evening. This means that the trains and the roads are sized to carry the peak direction flow. If the directional distribution is very lopsided then this is a very inefficient system since the lanes and the trains going away from the center will be virtually empty in the morning.

One argument for mixed land use is that it helps to cut down on this directional over balance. So if a train is connect two mixed use centers (such as downtown DC and Arlington, Virginia) the directional distribution will be more balanced resulting in more efficient use of the transportation system.

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Norman W. Garrick

Where does travel flow counts come from?

State Counts of Vehicle Traffic

The DOT maintain a program for counting traffic on all state owned highways, roads and streets.

There are two different type of counts: permanent count stations and temporary count stations

Permanent Count Stations give the most complete coverage of temporal variation in traffic

Temporary count stations are much less reliable since they are put out for at most 48 hours – the state then use factors to estimate the average daily count.

Other source of traffic count data are counts from individual towns or from developers working on larger projects.

Page 9: Interpreting Demand and Capacity for Street and Highway Design Lecture 6 CE 5720 Norman Garrick Norman W. Garrick.

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Where does travel flow counts come from?

Pedestrian, Bikes and Transit Counts

I know of no agencies that routinely count pedestrian traffic – this makes it harder to include pedestrian issues in transportation planning

A handful of cities in the country, including Portland, Davis and Cambridge have programs for counting bike traffic

Transit counts are readily available from transit agencies and national transit bodies

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Bikeway MilesCyclists per Day

1991 2007

Portland (OR) Bike Count Program

http://www.streetsblog.org/wp-content/uploads/2007/09/portland_bike_counts.jpg

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Shared Bikes, ParisA New Era for Bike Counts

http://networkedblogs.com/g0g87(from Sam Goater)

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Bike Parking at Train Station, Amsterdam

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What is the State Traffic Counts Used for?AADT

The state traffic count is used to estimate an average annual daily traffic (AADT)

The AADT is meant to represent the average traffic over all 365 days in the year. In other words, it is meant to be

Total Traffic in year / 365

This can be obtained relatively accurately from the permanent count stations.

From the temporary stations, this is more difficult. The count from the station (which is referred to as average daily traffic or ADT) is multiplied by seasonal and day of the week adjustment factor to get an estimated AADT.

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Characterizing Traffic Counts

Vehicles/hr or AADT

Often reports from state level traffic count studies give average annual daily traffic (AADT)

Since hourly volume for the design hour is what is typically used for design it is left up to the designer to come up with a reasonable design hourly volume from the AADT

As a very rough guide the typical design hour volume is can be taken as about 10% of the AADT. But this % varies significantly depending on the temporal variation in traffic.

Once a design hour volume is determined then the designer must also determine the directional split.

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Demand and Capacity for Street and Highway Design

Convention street and highway design is based on the idea of fitting capacity to demand

Demand is characterized by a design hour volume

Capacity is characterized by design hourly service volume

Norman W. Garrick

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Demand

The design hour volume is meant to be the volume of traffic that will use the facility in the design hour, in the design direction, in the design year

Usually the design hour is taken as the 30 busiest hour of the year

DHV is often estimated from AADT

Norman W. Garrick

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Estimating Traffic in the Design Year

In many projects, the DHV is based on traffic for 20 or 30 years in the future

The procedure for doing this is some times derided as ‘predict and provide’ because in many cases it is based just on predicting past trends

Norman W. Garrick

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Problems with Predict and Provide

Predict and provide is problematic because expanding capacity affects future demand – therefore, using past trends to predict future traffic volumes is an invalid procedure

What are some of the factors that affect future travel?

Norman W. Garrick

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Capacity

Norman W. Garrick

What is the capacity of a street or highway?

By Ian Lockwood

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New View of Street Capacity

In the past, Street Capacity = Design Hour Service Volume

Now, Street Capacity = Social Capacity + Economic Capacity + Travel Capacity

Norman W. Garrick

By Ian Lockwood

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Understanding Capacity for Vehicle Travel

The design has flexibility in selecting a design capacityShe does this by designating a Level of ServiceOnce a LOS is determined then the design hourly service volume

can be selected from a chartNorman W. Garrick

Determining vehicle capacity on a street is not really like determining the amount of water in a measuring jar

Capacity is not a fixed number – it is rather a number selected based on what level of congestion we are willing to put up with

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LOS for Freeway

s

LOS in urban areas is

usually based

on intersection

flow

Norman W. Garrick

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Capacity and the Level of Service

Some cities now require that we design for LOS E or F to reduce inefficiency and the impact on the urban area of having large facilities

Norman W. Garrick

Selecting a low LOS means that you are designing for a low level of congestion during the busiest hour of the year

That means the facility will be empty for most hours in the day

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Why is this Road So Empty?

1. Predict and provide for 30 year in future2. Design for 30th busiest hour of year3. Design using a capacity based on low LOS