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A platform for research: civil engineering, architecture and urbanism
Analyzing travel time distribution based on different travel time reliability patterns using probe vehicle data
Travel time distribution (TTD) has been widely used to represent the traffic conditions on freeways and help to analyze travel time reliability (TTR). The goal of this study is to develop a systematic approach to analyzing TTD on different types of roadway segments along a corridor. By examining the historical TTR pattern using planning time index (PTI), four typical segments are identified and selected first. The distributions of travel time are then analyzed under different time of day, day of week, segment location and weather. The goodness-of-fit tests of different distributions are then conducted, and the results indicate that Burr distribution can provide highest acceptance rate with the consideration of different times of day (TOD) and days of week (DOW). The results also indicate that Burr distribution can provide highest acceptance rate with the consideration of different weather conditions. This study can provide the insightful information about TTD characteristics under different scenarios, and the results can also help transportation planners make informed decisions. Keywords: Travel time distribution, Travel time reliability, Probe vehicle data
Analyzing travel time distribution based on different travel time reliability patterns using probe vehicle data
Travel time distribution (TTD) has been widely used to represent the traffic conditions on freeways and help to analyze travel time reliability (TTR). The goal of this study is to develop a systematic approach to analyzing TTD on different types of roadway segments along a corridor. By examining the historical TTR pattern using planning time index (PTI), four typical segments are identified and selected first. The distributions of travel time are then analyzed under different time of day, day of week, segment location and weather. The goodness-of-fit tests of different distributions are then conducted, and the results indicate that Burr distribution can provide highest acceptance rate with the consideration of different times of day (TOD) and days of week (DOW). The results also indicate that Burr distribution can provide highest acceptance rate with the consideration of different weather conditions. This study can provide the insightful information about TTD characteristics under different scenarios, and the results can also help transportation planners make informed decisions. Keywords: Travel time distribution, Travel time reliability, Probe vehicle data
Analyzing travel time distribution based on different travel time reliability patterns using probe vehicle data
Zhen Chen (author) / Wei David Fan (author)
2020
Article (Journal)
Electronic Resource
Unknown
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