Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1186/s10033-024-01118-1
The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitly included in the proposed traffic network model, and the vehicle number non-conservation problem is overcome by describing the approaching and departure vehicle number in discrete time. The proposed model is verified in typical CAV cooperation scenarios. The performance of CAV coordination is analyzed in road, intersection and network scenario. Total travel time of the vehicles in the network is proved to be reduced when coordination is applied. Simulation results validate the accuracy of the proposed model and the effectiveness of the proposed algorithm.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s10033-024-01118-1
- OA Status
- diamond
- Cited By
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- OpenAlex ID
- https://openalex.org/W4404490166
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404490166Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s10033-024-01118-1Digital Object Identifier
- Title
-
Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous VehiclesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-11-18Full publication date if available
- Authors
-
Qing Xu, Chaoyi Chen, Xueyang Chang, Dongpu Cao, Mengchi Cai, Jiawei Wang, Keqiang Li, Jianqiang WangList of authors in order
- Landing page
-
https://doi.org/10.1186/s10033-024-01118-1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1186/s10033-024-01118-1Direct OA link when available
- Concepts
-
Computer science, Transport engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 3, 28, 80, 94, 114, 121 |
| abstract_inverted_index.to | 102 |
| abstract_inverted_index.CAV | 33, 38, 75, 81 |
| abstract_inverted_index.The | 1, 68, 78 |
| abstract_inverted_index.and | 5, 34, 49, 61, 88, 118 |
| abstract_inverted_index.gap | 23 |
| abstract_inverted_index.the | 21, 44, 50, 59, 95, 98, 112, 115, 119, 122 |
| abstract_inverted_index.This | 18 |
| abstract_inverted_index.time | 93 |
| abstract_inverted_index.when | 105 |
| abstract_inverted_index.(CAV) | 8 |
| abstract_inverted_index.Total | 91 |
| abstract_inverted_index.mixed | 29 |
| abstract_inverted_index.model | 70, 117 |
| abstract_inverted_index.road, | 86 |
| abstract_inverted_index.study | 19 |
| abstract_inverted_index.time. | 67 |
| abstract_inverted_index.where | 32 |
| abstract_inverted_index.future | 14 |
| abstract_inverted_index.model, | 48 |
| abstract_inverted_index.number | 52, 64 |
| abstract_inverted_index.proved | 101 |
| abstract_inverted_index.travel | 92 |
| abstract_inverted_index.network | 47, 89, 99 |
| abstract_inverted_index.problem | 54 |
| abstract_inverted_index.reduced | 104 |
| abstract_inverted_index.results | 110 |
| abstract_inverted_index.traffic | 11, 15, 26, 30, 46 |
| abstract_inverted_index.typical | 74 |
| abstract_inverted_index.vehicle | 51, 63 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.accuracy | 113 |
| abstract_inverted_index.analyzed | 84 |
| abstract_inverted_index.applied. | 108 |
| abstract_inverted_index.behavior | 39 |
| abstract_inverted_index.coexist. | 37 |
| abstract_inverted_index.discrete | 66 |
| abstract_inverted_index.improved | 10 |
| abstract_inverted_index.included | 42 |
| abstract_inverted_index.mobility | 12 |
| abstract_inverted_index.modeling | 27 |
| abstract_inverted_index.networks | 31 |
| abstract_inverted_index.overcome | 56 |
| abstract_inverted_index.proposed | 45, 69, 116, 123 |
| abstract_inverted_index.research | 22 |
| abstract_inverted_index.systems. | 17 |
| abstract_inverted_index.validate | 111 |
| abstract_inverted_index.vehicles | 7, 36, 96 |
| abstract_inverted_index.verified | 72 |
| abstract_inverted_index.addresses | 20 |
| abstract_inverted_index.automated | 6 |
| abstract_inverted_index.connected | 4 |
| abstract_inverted_index.departure | 62 |
| abstract_inverted_index.emergence | 2 |
| abstract_inverted_index.indicates | 9 |
| abstract_inverted_index.scenario. | 90 |
| abstract_inverted_index.Simulation | 109 |
| abstract_inverted_index.algorithm. | 124 |
| abstract_inverted_index.describing | 58 |
| abstract_inverted_index.explicitly | 41 |
| abstract_inverted_index.scenarios. | 77 |
| abstract_inverted_index.approaching | 60 |
| abstract_inverted_index.cooperation | 76 |
| abstract_inverted_index.macroscopic | 25 |
| abstract_inverted_index.performance | 79 |
| abstract_inverted_index.coordination | 82, 106 |
| abstract_inverted_index.human-driven | 35 |
| abstract_inverted_index.intersection | 87 |
| abstract_inverted_index.effectiveness | 120 |
| abstract_inverted_index.transportation | 16 |
| abstract_inverted_index.non-conservation | 53 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.86350571 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |