Modeling and simulation of vehicle group lane-changing behaviors in upstream segment of ramp areas under a connected vehicle environment Article Swipe
Haijian Li
,
Zhufei Huang
,
Lingqiao Qin
,
Shuo Zheng
,
Yanfang Yang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1108/srt-06-2019-0003
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1108/srt-06-2019-0003
Purpose The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas. Design/methodology/approach In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM. Findings The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas. Originality/value The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1108/srt-06-2019-0003
- https://www.emerald.com/insight/content/doi/10.1108/SRT-06-2019-0003/full/pdf?title=modeling-and-simulation-of-vehicle-group-lane-changing-behaviors-in-upstream-segment-of-ramp-areas-under-a-connected-vehicle-environment
- OA Status
- diamond
- Cited By
- 9
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2996310184
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2996310184Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1108/srt-06-2019-0003Digital Object Identifier
- Title
-
Modeling and simulation of vehicle group lane-changing behaviors in upstream segment of ramp areas under a connected vehicle environmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-05-14Full publication date if available
- Authors
-
Haijian Li, Zhufei Huang, Lingqiao Qin, Shuo Zheng, Yanfang YangList of authors in order
- Landing page
-
https://doi.org/10.1108/srt-06-2019-0003Publisher landing page
- PDF URL
-
https://www.emerald.com/insight/content/doi/10.1108/SRT-06-2019-0003/full/pdf?title=modeling-and-simulation-of-vehicle-group-lane-changing-behaviors-in-upstream-segment-of-ramp-areas-under-a-connected-vehicle-environmentDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.emerald.com/insight/content/doi/10.1108/SRT-06-2019-0003/full/pdf?title=modeling-and-simulation-of-vehicle-group-lane-changing-behaviors-in-upstream-segment-of-ramp-areas-under-a-connected-vehicle-environmentDirect OA link when available
- Concepts
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VisSim, Upstream (networking), Transport engineering, Computer science, Simulation, Automotive engineering, Engineering, Microsimulation, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2022: 1, 2021: 1, 2020: 4Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.ramp | 18, 31, 39, 95, 127, 136 |
| abstract_inverted_index.road | 164 |
| abstract_inverted_index.show | 112 |
| abstract_inverted_index.that | 113 |
| abstract_inverted_index.this | 4 |
| abstract_inverted_index.areas | 40, 96 |
| abstract_inverted_index.delay | 134 |
| abstract_inverted_index.group | 50, 59, 72, 88, 121, 151 |
| abstract_inverted_index.model | 154 |
| abstract_inverted_index.paper | 85 |
| abstract_inverted_index.roads | 66 |
| abstract_inverted_index.study | 5, 22 |
| abstract_inverted_index.under | 41, 97 |
| abstract_inverted_index.which | 129 |
| abstract_inverted_index.areas, | 128 |
| abstract_inverted_index.areas. | 32, 137 |
| abstract_inverted_index.obtain | 56 |
| abstract_inverted_index.reduce | 132 |
| abstract_inverted_index.safety | 165 |
| abstract_inverted_index.verify | 142 |
| abstract_inverted_index.Purpose | 0 |
| abstract_inverted_index.VISSIM. | 108 |
| abstract_inverted_index.greatly | 131 |
| abstract_inverted_index.improve | 163 |
| abstract_inverted_index.modeled | 54, 118 |
| abstract_inverted_index.purpose | 2 |
| abstract_inverted_index.results | 111, 141 |
| abstract_inverted_index.segment | 29, 37, 93, 125 |
| abstract_inverted_index.through | 20, 80, 119 |
| abstract_inverted_index.traffic | 15, 63 |
| abstract_inverted_index.vehicle | 10, 24, 44, 49, 82, 87, 100, 120, 150 |
| abstract_inverted_index.Findings | 109 |
| abstract_inverted_index.behavior | 12, 74, 153 |
| abstract_inverted_index.capacity | 64 |
| abstract_inverted_index.driver's | 159 |
| abstract_inverted_index.improved | 69 |
| abstract_inverted_index.optimize | 9 |
| abstract_inverted_index.proposed | 103 |
| abstract_inverted_index.strategy | 79 |
| abstract_inverted_index.upstream | 28, 36, 92, 124 |
| abstract_inverted_index.validity | 144 |
| abstract_inverted_index.alleviate | 14 |
| abstract_inverted_index.behavior, | 161 |
| abstract_inverted_index.behaviors | 26, 52 |
| abstract_inverted_index.capacity. | 167 |
| abstract_inverted_index.connected | 43, 81, 99 |
| abstract_inverted_index.different | 46, 114 |
| abstract_inverted_index.simulated | 106 |
| abstract_inverted_index.strategy. | 61 |
| abstract_inverted_index.congestion | 16 |
| abstract_inverted_index.constructs | 86 |
| abstract_inverted_index.optimizing | 77 |
| abstract_inverted_index.simulation | 140 |
| abstract_inverted_index.strategies | 47, 90, 104, 116 |
| abstract_inverted_index.controlling | 71 |
| abstract_inverted_index.effectively | 8, 156 |
| abstract_inverted_index.rationality | 146 |
| abstract_inverted_index.standardize | 157 |
| abstract_inverted_index.strategies, | 155 |
| abstract_inverted_index.continuously | 76 |
| abstract_inverted_index.environment, | 45 |
| abstract_inverted_index.environment. | 101 |
| abstract_inverted_index.corresponding | 149 |
| abstract_inverted_index.lane-changing | 11, 25, 51, 60, 73, 78, 89, 115, 152, 160 |
| abstract_inverted_index.technologies. | 83 |
| abstract_inverted_index.Originality/value | 138 |
| abstract_inverted_index.Design/methodology/approach | 33 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5090963178 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I37796252 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.77942424 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |