Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data
Queue forming behind a bus stop on an urban street is common and a traffic bottleneck usually occurs around the bus stop area. The bus stop failure means arriving buses cannot move into the bus stop due to limited capacity but have to wait for available loading areas. It is related with the transit...
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| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8863262 |
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| author | Rui Li Xin Xue Hua Wang |
| author_facet | Rui Li Xin Xue Hua Wang |
| author_sort | Rui Li |
| collection | DOAJ |
| description | Queue forming behind a bus stop on an urban street is common and a traffic bottleneck usually occurs around the bus stop area. The bus stop failure means arriving buses cannot move into the bus stop due to limited capacity but have to wait for available loading areas. It is related with the transit operation level. Traditionally, the failure rate (FR), defined as the percentage of buses that arrives at the bus stop to find all loading areas occupied, is adopted in bus capacity analysis. However, the concept of FR is unable to quantitatively analyze failure characteristics in terms of its dispersion and uncertainty over time. Therefore, in this paper, we propose a new index called failure duration rate (FDR) to evaluate the bus stop failure, which can characterize waiting time for traffic delay calculation and capacity drop estimation. The automatic vehicle location data at eight bus stops in Wujiang District Suzhou, China, over 56 working days, are used to analyze the temporal characteristics of FR and FDR. We next examined the failed service duration characteristics during peak hours at the eight bus stops. Based on these characteristics analyses, we then proposed a Distribution Fitting and Cumulative Distribution Correlation (DF-CDC) approach to explore the correlation between FDR and FR at the same cumulative distribution function levels and validated the bus stop failure performance using the cross-validation method. The analysis results revealed that (i) FR fluctuates more significant than FDR, (ii) FDR is a more robust index than FR in describing the traffic characteristics incurred by bus stop failures, and (iii) FDR performs better in failure characteristics analysis than FR. |
| format | Article |
| id | doaj-art-ddcc1d634a3a499bab128f2f90ec8143 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-ddcc1d634a3a499bab128f2f90ec81432025-02-03T06:05:40ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88632628863262Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location DataRui Li0Xin Xue1Hua Wang2College of Civil and Transportation Engineering, Hohai University, 1 Xi Kang Road, Nanjing 210098, ChinaCollege of Civil and Transportation Engineering, Hohai University, 1 Xi Kang Road, Nanjing 210098, ChinaDepartment of Civil & Environmental Engineering, National University of Singapore, 21 Lower Kent Ridge Road, 117576, SingaporeQueue forming behind a bus stop on an urban street is common and a traffic bottleneck usually occurs around the bus stop area. The bus stop failure means arriving buses cannot move into the bus stop due to limited capacity but have to wait for available loading areas. It is related with the transit operation level. Traditionally, the failure rate (FR), defined as the percentage of buses that arrives at the bus stop to find all loading areas occupied, is adopted in bus capacity analysis. However, the concept of FR is unable to quantitatively analyze failure characteristics in terms of its dispersion and uncertainty over time. Therefore, in this paper, we propose a new index called failure duration rate (FDR) to evaluate the bus stop failure, which can characterize waiting time for traffic delay calculation and capacity drop estimation. The automatic vehicle location data at eight bus stops in Wujiang District Suzhou, China, over 56 working days, are used to analyze the temporal characteristics of FR and FDR. We next examined the failed service duration characteristics during peak hours at the eight bus stops. Based on these characteristics analyses, we then proposed a Distribution Fitting and Cumulative Distribution Correlation (DF-CDC) approach to explore the correlation between FDR and FR at the same cumulative distribution function levels and validated the bus stop failure performance using the cross-validation method. The analysis results revealed that (i) FR fluctuates more significant than FDR, (ii) FDR is a more robust index than FR in describing the traffic characteristics incurred by bus stop failures, and (iii) FDR performs better in failure characteristics analysis than FR.http://dx.doi.org/10.1155/2020/8863262 |
| spellingShingle | Rui Li Xin Xue Hua Wang Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data Journal of Advanced Transportation |
| title | Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data |
| title_full | Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data |
| title_fullStr | Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data |
| title_full_unstemmed | Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data |
| title_short | Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data |
| title_sort | characteristics analysis of bus stop failure using automatic vehicle location data |
| url | http://dx.doi.org/10.1155/2020/8863262 |
| work_keys_str_mv | AT ruili characteristicsanalysisofbusstopfailureusingautomaticvehiclelocationdata AT xinxue characteristicsanalysisofbusstopfailureusingautomaticvehiclelocationdata AT huawang characteristicsanalysisofbusstopfailureusingautomaticvehiclelocationdata |