Chapter
Nov 12, 2013
Estimating Bus Travel Speed under Information Collection Environment
Publication: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Abstract
Public transit, as a major part of urban transportation, plays an irreplaceable role. Government and transit agencies are trying to make transit be more competitive through offering faster service. Travel speed, which directly reflects the service level and key specifications of public transit, is influenced by many factors. The factors affecting bus speed are analyzed from three aspects: links, intersections, and stations. On the basis of these, analytical mode models are established and through parameter transformation, the multiple linear regression model contains reciprocals of travel speed, intensity of passengers, density of stations, relative density of intersections. Time period is validated and tested by using automatic vehicle location data, geographic data, smart card data, and signal timing data obtained from the Shanghai 49 bus line. Test results show that the model can reflect the actual operation. In the end of this paper, quantitative analysis of the impact of each factor on speed is done and some suggestions are proposed for increasing bus travel speed.
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© 2013 American Society of Civil Engineers.
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Published online: Nov 12, 2013
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Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao'an Highway, Shanghai 201804, China. E-mail: [email protected]
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao'an Highway, Shanghai, China. E-mail: [email protected]
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