3 resultados para Distance study
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
Resumo:
This report is compiled from data gathered by interviewing motorists to sample their opinion of Iowa's method of supplementing the yellow barrier line pavement marking of no passing zones on primary highways with yellow pennant shaped "No Passing Zone" signs mounted on the left shoulder of the highway. The effective designation of no passing zones is one form of control that can contribute to a reduction in the number of fatal high-speed head-on collisions resulting from passing in areas which do not afford sufficient sight distance of approaching traffic. It is the purpose of this report to present an evaluation of the Iowa "No Passing Zone" sign by individuals from all states who have traveled on Iowa's primary highways and who must obey the no passing zone restrictions and be warned by this sign of the presence of the zones. The "No Passing Zone" sign was formulated and approved by the Governor's Safety Committee a short time prior to the experimental erection of the signs. The Governor's Safety Committee adopted this sign as they felt that such a sign should be distinctive (not similar to any other type of sign) and easily visible to a driver attempting a passing maneuver.
Resumo:
Rural intersections account for 30% of crashes in rural areas and 6% of all fatal crashes, representing a significant but poorly understood safety problem. Transportation agencies have traditionally implemented countermeasures to address rural intersection crashes but frequently do not understand the dynamic interaction between the driver and roadway and the driver factors leading to these types of crashes. The Second Strategic Highway Research Program (SHRP 2) conducted a large-scale naturalistic driving study (NDS) using instrumented vehicles. The study has provided a significant amount of on-road driving data for a range of drivers. The present study utilizes the SHRP 2 NDS data as well as SHRP 2 Roadway Information Database (RID) data to observe driver behavior at rural intersections first hand using video, vehicle kinematics, and roadway data to determine how roadway, driver, environmental, and vehicle factors interact to affect driver safety at rural intersections. A model of driver braking behavior was developed using a dataset of vehicle activity traces for several rural stop-controlled intersections. The model was developed using the point at which a driver reacts to the upcoming intersection by initiating braking as its dependent variable, with the driver’s age, type and direction of turning movement, and countermeasure presence as independent variables. Countermeasures such as on-pavement signing and overhead flashing beacons were found to increase the braking point distance, a finding that provides insight into the countermeasures’ effect on safety at rural intersections. The results of this model can lead to better roadway design, more informed selection of traffic control and countermeasures, and targeted information that can inform policy decisions. Additionally, a model of gap acceptance was attempted but was ultimately not developed due to the small size of the dataset. However, a protocol for data reduction for a gap acceptance model was determined. This protocol can be utilized in future studies to develop a gap acceptance model that would provide additional insight into the roadway, vehicle, environmental, and driver factors that play a role in whether a driver accepts or rejects a gap.
Resumo:
The MIT Scan T2 device has been implemented in Iowa as a new method for determining PCC pavement thickness compliance. The T2 device utilizes a magnetic pulse induction technology to measure the distance from a sensor to a metal target. The objective of this project was to conduct an interlaboratory study (ASTM C802) to determine the precision of the test.Fifteen MIT Scan T2 gauges and fifteen operators performed testing on three reference platforms and nine pavement locations of varying thicknesses. The testing was conducted on October 29, 2014 at two sites near Ames, Iowa. Usable data was obtained from every operator at all locations.