1、Designation: E 2667 09Standard Practice forAcquiring Intersection Turning Movement Traffic Data1This standard is issued under the fixed designation E 2667; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision, the year of last revision.
2、A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.1. Scope1.1 This practice for intersection turning movement dataacquisition was developed to improve its quality by specifyingthe data items to b
3、e collected and a procedure for documentingthe results. Such a practice will provide the ability to comparethese data over time within governmental agencies and amongdifferent governmental agencies. While there are national andinternational standards for road segment traffic data, there isnot a prac
4、tice for intersection turning movement data acquisi-tion.1.2 UnitsThe values stated in inch-pound units are to beregarded as the standard. The values given in parentheses aremathematical conversions to SI units that are provided forinformation only and are not considered standard.1.3 This standard d
5、oes not purport to address all of thesafety concerns, if any, associated with its use. It is theresponsibility of the user of this standard to establish appro-priate safety and health practices and determine the applica-bility of regulatory limitations prior to use.2. Referenced Documents2.1 ASTM St
6、andards:2E 2300 Specification for Highway Traffic Monitoring De-vicesE 2532 Test Methods for Evaluating Performance of High-way Traffic Monitoring Devices3. Terminology3.1 Definitions:3.1.1 base data integrity, nretention of original collecteddata in uncorrupted form.3.1.2 truth in data, ndescriptio
7、n of how data are col-lected, summarized, reported and retained so potential datausers can recalculate summary statistics from the originalcollected data.3.1.3 vehicle count (volume), ntotal number of vehiclesobserved or predicted to pass a point on a lane or roadwayduring a specified time interval
8、(see Specification E 2300 andPractice E 2532).3.2 Definitions of Terms Specific to This Standard:3.2.1 adaptive control, na traffic signal controller thatcontinuously changes the timing of signal phases based oninterpretation of traffic information received from multiplesensors.3.2.2 beacon, na flas
9、hing signal at an intersection thatmay be constant or actuated.3.2.3 intersection turning movement, nvehicle movementby lane to and through an intersection.3.2.4 intersection turning movement count, ntotal numberof vehicles observed or predicted to move by lane to andthrough an intersection during a
10、 specified time interval.3.2.5 intersection turning movement count, ntotal numberof vehicles observed or predicted to move by lane to andthrough an intersection during a specified time interval.3.2.6 pretimed control, na traffic signal controller thatchanges signal phases based on a fixed time perio
11、d.3.2.7 total intersection traffc, ntotal number of vehiclesin all lanes observed to pass to and through an intersectionduring a specified time interval.4. Significance and Use4.1 This practice will permit various agencies to compareintersection turning movement data using two foundationalprinciples
12、, truth in data and base data integrity. These twoprinciples help ensure that intersection turning movementcounts can be correctly interpreted and appropriately used toimprove the safe and efficient operation of intersections. Theprinciples may be summarized as follows:4.1.1 Truth in data principleT
13、he truth in data principleprovides information that assists potential data users to under-stand what the data do and do not mean. The opportunity tocollect data that advise safe and efficient transportation carrieswith it the obligation to report how the data were collected,edited, summarized, and r
14、eported.4.1.2 Base data integrity principleThe principle of basedata integrity retains the field data collected. In keeping withthe principle of base data integrity, it is possible to look at theoriginal data to verify any subsequent changes to the data. In1This practice is under the jurisdiction of
15、 ASTM Committee E17 on Vehicle -Pavement Systems and is the direct responsibility of Subcommittee E17.52 onTraffic Monitoring.Current edition approved Feb. 1, 2009. Published February 2009.2For referenced ASTM standards, visit the ASTM website, www.astm.org, orcontact ASTM Customer Service at servic
16、eastm.org. For Annual Book of ASTMStandards volume information, refer to the standards Document Summary page onthe ASTM website.1Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.intersection turning movement and other data collection a
17、ctivi-ties, field data may be edited, adjusted, and then summarizedand reported. Whatever steps are taken to ensure the quality ofthe data summarized, the base data must not be corrupted. Inkeeping with the principle of truth in data, editing andadjustments are documented.5. Procedure5.1 The followi
18、ng information will be provided for eachintersection turning movement count. If the information soughtis not applicable, “NA” should be entered. If the informationsought was not collected, “NC” should be entered. A responseto each item is required for the turning movement count to beaccepted.5.1.1 I
19、ntersection Type5.1.1.1 Intersection Diagram(1) Approach:(A) Location (point of reference):(i) Physical description of the intersection(ii) Global positioning system (GPS) location:(a) Device type(b) Measurement errorNOTE 1The maximum acceptable error is 610 ft (3 m).(B) Bearing angleNOTE 2The maxim
20、um acceptable error is 610.(C) Lanes(D) Traffc control:(i) Unsignalized:(a) No control(b) Sign(c) Beacon(ii) Signalized:(a) Pretimed control(b) Actuated control(c) Adaptive control5.1.1.2 Land use(1) Institute of Transportation Engineers (ITE) land-usecode:3(A) The land use is coded for each interse
21、ction approach.(B) Land-use location is based on the physical descriptionof the intersection in 5.1.1.1(1)(A)(i).(2) Nearest curb cut to the intersection for each approach:(A) Distance is measured from the closest edge of the curbcut to the intersection corner.(B) The intersection corner is formed b
22、y the side of thestreet on which the nearest curb cut is located and a point online with the intersecting street curb.NOTE 3The maximum acceptable error is 610 ft (3 m).5.1.2 Count Context5.1.2.1 Person(s) simultaneously recording the turningmovements based on the number of concurrent movements toco
23、unt:(1) Number of persons(2) Positioning of persons:(A) Intersection quadrant(B) GPS location:5.1.2.2 Technology used to record the turning movements:(1) Device type(s), serial number(s), and software ver-sion(s)(2) Number of devices(3) Positioning of devices(4) Manufacturer guidance on number of de
24、vices andpositioning5.1.2.3 Confirmation of representative traffc conditions:(1) Date and time(2) Incident(s) during count period one major intersectionin each direction(3) Street construction during count period three majorintersections in each direction5.1.2.4 Weather:(1) Impact on the traffic dat
25、a from specific weather duringthe intersection turning movement count(2) Impact on the traffic data from seasonal weathercharacteristics (such as time of sunrise and sunset for obscuringsome technology based observations)5.1.3 Count5.1.3.1 Count day, time, and period5.1.3.2 Count type:(1) Manual:(A)
26、 Paper data entry(B) Computer data entry and summarization interval(2) Machine data summarization interval by device type5.1.3.3 Break or interruption of the count:(1) Time(2) Duration(3) Cause5.1.3.4 Data type:(1) Volume(2) Classification:(A) Passenger car and truck(B) Federal Highway Administratio
27、n (FHWA) 13 vehicleclassification4(C) Other(3) Pedestrian(4) Bicycle(5) Other5.1.3.5 Base data retention:(1) Period(2) Format:(A) Electronic(B) Print5.1.4 Count Consistency with Reference Dataset:5.1.4.1 Reference dataset:(1) Data type:(A) Volume(B) Classification:(i) Passenger car and truck3Trip Ge
28、neration, 7th Edition, Institute of Transportation Engineers, Washing-ton, D.C., 2003.4Heavy Vehicle Travel Information System Field Manual, Office of HighwayPolicy Information, Federal Highway Administration, March 2002,www.fhwa.dot.gov/policyinformation.E2667092(ii) Federal Highway Administration
29、(FHWA) 13 vehicleclassification(iii) Other(C) Pedestrian(D) Bicycle(E) Other(2) Period:(A) Short-term traffic monitoring by approach(B) Continuous traffic monitoring at one or more ap-proaches(C) Other(3) Method:(A) Pneumatic tube(B) Inductive loop(C) Camera(i) Video recording for manual post-proces
30、sing identifi-cation of turning movements(ii) Video image processing for computerized, real-timeidentification of turning movements(D) Other5.1.4.2 Measurement Comparison:(1) Difference between the total intersection turning move-ment count and the reference datasetNOTE 4The maximum difference betwe
31、en the intersection turningmovement count and the reference dataset is 610 % of total intersectiontraffic for the complete count period.(2) Difference between the total intersection AM peak hourturning movement count and the reference datasetNOTE 5The maximum difference between the intersection turn
32、ingmovement count and the reference dataset is 610 % of total intersectiontraffic in the AM peak hour.(3) Difference between the total intersection PM peak hourturning movement count and the reference datasetNOTE 6The maximum difference between the intersection turningmovement count and the referenc
33、e dataset is 610 % of total intersectiontraffic in the PM peak hour.5.1.5 Turning Movement Count Repeatability5.1.5.1 Personnel:(1) Method of establishing repeatability of manual counts(for example, post-training or other side-by-side counts of thesame intersection turning movements)(2) Repeatabilit
34、y of manual counts by type of intersectionNOTE 7The maximum acceptable difference is 610 % for the totalturning movement count, the AM peak hour, and the PM peak hour.5.1.5.2 Technology:(1) Manufacturer estimate of error (for example, 65 % for95 % of the data summarization intervals during a 24-h pe
35、riod)(2) Field errors:(A) Method of establishing repeatability of technologybased counts:(i) Visual comparison(ii) Side-by-side count(iii) Other(B) Repeatability of technology based counts by type ofintersection:(i) At the specific intersection(ii) By intersections grouped on the basis of:(a) Traffi
36、c volume(b) Number of approaches(c) Functional classification(d) Other5.1.6 Data Reduction5.1.6.1 Data assessment:(1) Missing data(2) Inaccurate data (see 5.1.4.2)5.1.6.2 Data construction:(1) Data completion(2) Data modification5.1.6.3 Data representation:(1) Summary statistics(2) Tabular presentat
37、ion(3) Graphic presentation(4) Images(5) Words5.1.6.4 Data reduction retention:(1) Period(2) Format:(A) Electronic(B) Print5.1.7 Count Narrative5.1.7.1 Personnel:(1) Who conducted the count:(A) Organization(B) Names of personnel(2) Who prepared this report for submittal:(A) Name(B) Title(C) Contact
38、information5.1.7.2 Observation of uncounted intersection movements:(1) Avoidance of intersection by cutting through adjacentproperty:(A) Count:(i) Time(ii) Location(B) Uncounted approximation:(i) Time(ii) Location5.1.7.3 Observation of Illegal Intersection Movements:(1) Vehicle:(A) Description of mo
39、vement(B) Description of vehicle or vehicles(C) Count(D) Uncounted approximation(E) Time(F) Location(2) Bicycle:(A) Description of movement(B) Description of vehicle or vehicles(C) Count(D) Uncounted approximation(E) Time(F) Location(3) Pedestrian:(A) Description of movement(B) CountE2667093(C) Unco
40、unted approximation(D) Time(E) Location5.1.7.4 Other observations that clarify the count5.1.7.5 Other observations that clarify the safety and op-eration of the intersection6. Report6.1 The person responsible for collecting the turning move-ment data or their designated representative shall prepare
41、awritten report when data acquisition is complete. The reportshall include the information enumerated in Section 5 thatdescribes the intersection, methodology, and traffic data col-lected.7. Keywords7.1 base data integrity; intersection turning movement data;traffic intersection; traffic monitoring;
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