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Publication Detail
Effect of adverse weather conditions on urban speeds and travel time reliability of bus lane and non-bus lane users
  • Publication Type:
    Conference presentation
  • Publication Sub Type:
    Presentation
  • Authors:
    Tsapakis I, CHENG T, Bolbol A
  • Date:
    16/04/2011
  • Status:
    Published
  • Name of Conference:
    Annual Meeting of the Association of American Geographers
  • Conference place:
    Seattle, USA
  • Conference start date:
    12/04/2011
  • Conference finish date:
    16/04/2011
  • Keywords:
    Adverse weather conditions, precipitation, travel time, travel speed, travel time variability
Abstract
Weather conditions may significantly impact a series of everyday human decisions and activities, while engineers are seeking to integrate weather-related data into traffic operations in order to improve current state of practice. Travel times and speeds are two of the elements of a transportation system that may be greatly affected by the weather resulting in deterioration of a network's travel time reliability (TTR). This study aims to investigate the impact of adverse weather conditions on speeds and travel time variability (TTV) of bus lane and non-bus lane users in the Greater London area, UK. Automatic Number Plate Recognition (ANPR) data from 2008 and 2009 are used to develop multiple linear regression models. Temporal variables such as time-of-day and day-of-week are taken into account, while two definitions of TTV are considered separately: the standard deviation and the difference between the 90th and the 10th percentile of the unit link travel time. This research is different than previous studies on the consideration of different intensities of precipitation instead of simply examining the presence or absence of rainfall, the inclusion of temporal factors in the models, the individual analysis for bus and non-bus lane users, the number of links and the high temporal resolution of the climatic data used. Overall, adverse weather conditions contribute to a less reliable network, depending on the intensity of the rain. This might suggest modification of planning decisions and traffic control applications under different weather conditions.
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