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SHRP 2 L11: Final Report<br />

amount of precipitation that falls. Therefore, the more geographically precise the collected<br />

weather data can be, the better it is.<br />

Work Zones/Construction<br />

The key construction variables that affect reliability are as follows:<br />

• Location of the construction event<br />

• <strong>Time</strong> and duration of lane/shoulder closures by extent of closure<br />

• <strong>Time</strong>, duration, and nature of lane modifications/shifts made during construction activity<br />

These variables would ideally be reported in real time by staff working at the construction site.<br />

The data would then be posted <strong>to</strong> traveler information sites and broadcast <strong>to</strong> the traveling public.<br />

This rarely occurs, but construction traffic mitigation plans and construction schedules are<br />

usually available. These documents outline the planned modifications <strong>to</strong> the subject travel lanes<br />

during the scheduled construction activity. There will be a clear picture if they describe both the<br />

times of day and the calendar days during which the lane closures will be put in place. Because<br />

actual construction activities will differ from these plans as a result of a variety of fac<strong>to</strong>rs<br />

(weather, changes in construction plans, etc.), these data have limitations but are useful when the<br />

relative effectiveness of traffic management plans is assessed.<br />

Special Events<br />

The key special event variables are the following:<br />

• Location of the event<br />

• Attendance at the event (vehicle demand)<br />

• Duration of the event.<br />

Special events impact the performance of roadways in two ways: 1) they significantly increase<br />

traffic volumes prior <strong>to</strong> and after the event and 2) they change the origin/destination travel<br />

pattern of trips using roadways associated with those events. As a result, they change the vehicle<br />

volume on roadways in the vicinity of the event venue and the parking lots that serve that venue.<br />

The above variables allow estimation of those traffic volume changes. The difficulty is in<br />

identifying special events. Some events are easy <strong>to</strong> identify (e.g., large college football games or<br />

traditional Fourth of July fireworks displays); but other events (e.g., large company gatherings<br />

occurring on weekdays at urban conference centers or stadia) can be difficult <strong>to</strong> identify and<br />

collect data on. Similarly, attendance at smaller venues may have significant impacts near the<br />

venue itself, but go unnoticed on the freeways that serve the larger geographic area surrounding<br />

that venue. This makes it somewhat challenging <strong>to</strong> determine which event data <strong>to</strong> collect.<br />

Traffic Control/Signal Timing<br />

Data on traffic-control plans are needed <strong>to</strong> understand the level of roadway capacity that<br />

roadway agencies are providing. At a minimum, data desirable <strong>to</strong> maintain includes the<br />

following:<br />

• The location of all traffic-control mechanisms<br />

• The time that specific control plans or actions take effect<br />

• Descriptions of all signal-timing phases (as planned, and if possible, where executed)<br />

• Location, description, and timing of all non-signal control actions taken (e.g., what<br />

messages are placed on which dynamic message signs during which time periods, or what<br />

rates are charged on HOT or managed roadway lanes at specific times of the day).<br />

GOALS AND PERFORMANCE TARGETS Page 30

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