Predictive algorithms for train arrival and clear times at highway-rail intersections /

Research is being performed to integrate railroad information

Bibliographic Details
Main Author: Halloin, David Muyskens
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1997.
Subjects:

MARC

Tag First Indicator Second Indicator Subfields
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035 |a (OCoLC)38397595 
035 |9 AHN2867AM 
040 |a TXA  |c TXA  |d UtOrBLW 
049 |a TXAM  |a TXAR 
099 |a 1997  |a Thesis  |a H35 
100 1 |a Halloin, David Muyskens. 
245 1 0 |a Predictive algorithms for train arrival and clear times at highway-rail intersections /  |c by David Muyskens Halloin. 
264 1 |a [Place of publication not identified] :  |b [publisher not identified] ;  |c 1997. 
300 |a xi, 104 leaves :  |b illustrations ;  |c 28 cm. 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
504 |a Includes bibliographical references. 
500 |a Vita. 
502 |b M.S.  |c Texas A&M University  |d 1997. 
500 |a "Major subject: Civil Engineering". 
530 |a Issued also on microfiche from Lange Micrographics. 
520 |a Research is being performed to integrate railroad information  
520 |a into traffic management centers for the improvement of  
520 |a traffic operations and safety on the surface street system.  
520 |a An issue of major concern is the advanced warning of train  
520 |a arrivals at highway-rail intersections. Several research  
520 |a projects are being performed to develop new technologies for  
520 |a gathering this information from the rail corridor and for  
520 |a communicating it to traffic management centers. Little or no  
520 |a research has been done to incorporate existing technologies  
520 |a for this purpose. Lack of methods for using technologies  
520 |a already available in the field to predict train arrivals has  
520 |a prompted this research focusing on the development of  
520 |a algorithms, using data obtainable from existing technologies,  
520 |a for prediction of train arrival and clear times. A typical  
520 |a rural-to-urban rail corridor, containing numerous at-grade  
520 |a highway-rail intersections, was chosen for this study. Six  
520 |a general algorithms, incorporating different types and amounts  
520 |a of information, were developed to predict train arrival  
520 |a times. Four algorithms for predicting intersection blockage  
520 |a by trains were developed to be used in predicting clear  
520 |a times. These algorithms were evaluated based on their logic,  
520 |a ability to explain actual train movements, as well as their  
520 |a accuracy and precision. Results indicated that predictive  
520 |a algorithms incorporating the largest amount of information  
520 |a yielded the most accurate results. It was found that  
520 |a acceleration and deceleration rates of trains between the  
520 |a rural detection intersections included in the study were not  
520 |a useful in predicting arrival times downstream for the study  
520 |a corridor. Train speeds at the detection intersections,  
520 |a however, are useful in making these predictions. Comparisons  
520 |a between the use of actual and mean historic train speeds at  
520 |a detection intersections indicated a distinct advantage in the  
520 |a use of actual train speeds. Comparisons between using link- 
520 |a speed and point-speed detection methods showed an advantage  
520 |a in precision and accuracy with the use of the point-speed  
520 |a method. For the study corridor, it was found that the use of  
520 |a posted train speeds in algorithms consistently led to better  
520 |a predictions than did the use of mean historical train speeds. 
650 4 |a Major civil engineering. 
999 |a MARS 
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952 f f |p noncirc  |a Texas A&M University  |b College Station  |c Cushing Memorial Library & Archives  |d Cushing: Theses & Dissertations Microforms (Does not check out)  |t 0  |e 1997 Thesis H35  |h Other scheme  |i unmediated -- volume 
998 f f |a 1997 Thesis H35  |t 0  |l Cushing: Theses & Dissertations Microforms (Does not check out)