Implementation of Driving Safety Early Warning System Based on Trajectory Prediction on the Internet of Vehicles Environment Article Swipe
Rongxia Wang
,
Zhifang Liu
,
Shufeng Yang
,
Jianxing Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/2922507
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/2922507
Traffic accidents cause a large number of casualties and economic losses every year. The primary causes of traffic accidents are the inadvertent response and inappropriate disposal of drivers. The Internet of Vehicles system is a large network based on intranets, the Internet, and mobile Internet. It performs wireless communication and information exchange between vehicles and roadways in accordance with the agreed-upon communication protocol and data exchange standards. It provides technical assistance in the implementation of vehicle hazard detection and opens up new avenues for safety early warning. In this study, a driving safety early warning system is proposed based on trajectory prediction on the Internet of Vehicles environment. After analyzing the system requirements, the driving safety system based on trajectory prediction is designed according to the demand analysis and tested. The trajectory prediction error is detected, and the collected trajectory is predicted. Data are divided into 3 groups, and to validate the performance of the system, the experiment is repeated five times. The test results show that the trajectory prediction accuracy of the trajectory prediction system designed is 89.4%, as compared to the accuracy of existing driving safety early warning systems, most of which are concentrated at accuracy lower than 89%. The proposed early warning method has the potential to reduce vehicle collisions and road traffic accidents.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/2922507
- https://downloads.hindawi.com/journals/scn/2022/2922507.pdf
- OA Status
- hybrid
- Cited By
- 6
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280637224
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4280637224Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2022/2922507Digital Object Identifier
- Title
-
Implementation of Driving Safety Early Warning System Based on Trajectory Prediction on the Internet of Vehicles EnvironmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-19Full publication date if available
- Authors
-
Rongxia Wang, Zhifang Liu, Shufeng Yang, Jianxing WangList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/2922507Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/scn/2022/2922507.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/scn/2022/2922507.pdfDirect OA link when available
- Concepts
-
Trajectory, Computer science, The Internet, Warning system, Hazard, Early warning system, Real-time computing, Computer security, Simulation, Telecommunications, Chemistry, World Wide Web, Astronomy, Physics, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4280637224 |
|---|---|
| doi | https://doi.org/10.1155/2022/2922507 |
| ids.doi | https://doi.org/10.1155/2022/2922507 |
| ids.openalex | https://openalex.org/W4280637224 |
| fwci | 0.59973202 |
| type | article |
| title | Implementation of Driving Safety Early Warning System Based on Trajectory Prediction on the Internet of Vehicles Environment |
| biblio.issue | |
| biblio.volume | 2022 |
| biblio.last_page | 6 |
| biblio.first_page | 1 |
| grants[0].funder | https://openalex.org/F4320317610 |
| grants[0].award_id | 2019CQZY04 |
| grants[0].funder_display_name | Guangzhou Nanyang Polytechnic College |
| grants[1].funder | https://openalex.org/F4320317610 |
| grants[1].award_id | 2020ZDZX3096 |
| grants[1].funder_display_name | Guangzhou Nanyang Polytechnic College |
| grants[2].funder | https://openalex.org/F4320317610 |
| grants[2].award_id | 2021ZDZX1120 |
| grants[2].funder_display_name | Guangzhou Nanyang Polytechnic College |
| grants[3].funder | https://openalex.org/F4320317610 |
| grants[3].award_id | NY-2019CQTD-02 |
| grants[3].funder_display_name | Guangzhou Nanyang Polytechnic College |
| topics[0].id | https://openalex.org/T11099 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2203 |
| topics[0].subfield.display_name | Automotive Engineering |
| topics[0].display_name | Autonomous Vehicle Technology and Safety |
| topics[1].id | https://openalex.org/T11344 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9954000115394592 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2215 |
| topics[1].subfield.display_name | Building and Construction |
| topics[1].display_name | Traffic Prediction and Management Techniques |
| topics[2].id | https://openalex.org/T11512 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9948999881744385 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Anomaly Detection Techniques and Applications |
| funders[0].id | https://openalex.org/F4320317610 |
| funders[0].ror | |
| funders[0].display_name | Guangzhou Nanyang Polytechnic College |
| is_xpac | False |
| apc_list.value | 2100 |
| apc_list.currency | USD |
| apc_list.value_usd | 2100 |
| apc_paid.value | 2100 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2100 |
| concepts[0].id | https://openalex.org/C13662910 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7992827892303467 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q193139 |
| concepts[0].display_name | Trajectory |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7640565633773804 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C110875604 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6893368363380432 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q75 |
| concepts[2].display_name | The Internet |
| concepts[3].id | https://openalex.org/C29825287 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6516909003257751 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1427940 |
| concepts[3].display_name | Warning system |
| concepts[4].id | https://openalex.org/C49261128 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6076447367668152 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1132455 |
| concepts[4].display_name | Hazard |
| concepts[5].id | https://openalex.org/C2779296788 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5451109409332275 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5326904 |
| concepts[5].display_name | Early warning system |
| concepts[6].id | https://openalex.org/C79403827 |
| concepts[6].level | 1 |
| concepts[6].score | 0.49031832814216614 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[6].display_name | Real-time computing |
| concepts[7].id | https://openalex.org/C38652104 |
| concepts[7].level | 1 |
| concepts[7].score | 0.43670040369033813 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[7].display_name | Computer security |
| concepts[8].id | https://openalex.org/C44154836 |
| concepts[8].level | 1 |
| concepts[8].score | 0.335842490196228 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q45045 |
| concepts[8].display_name | Simulation |
| concepts[9].id | https://openalex.org/C76155785 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2037276327610016 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[9].display_name | Telecommunications |
| concepts[10].id | https://openalex.org/C185592680 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[10].display_name | Chemistry |
| concepts[11].id | https://openalex.org/C136764020 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[11].display_name | World Wide Web |
| concepts[12].id | https://openalex.org/C1276947 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q333 |
| concepts[12].display_name | Astronomy |
| concepts[13].id | https://openalex.org/C121332964 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[13].display_name | Physics |
| concepts[14].id | https://openalex.org/C178790620 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[14].display_name | Organic chemistry |
| keywords[0].id | https://openalex.org/keywords/trajectory |
| keywords[0].score | 0.7992827892303467 |
| keywords[0].display_name | Trajectory |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7640565633773804 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/the-internet |
| keywords[2].score | 0.6893368363380432 |
| keywords[2].display_name | The Internet |
| keywords[3].id | https://openalex.org/keywords/warning-system |
| keywords[3].score | 0.6516909003257751 |
| keywords[3].display_name | Warning system |
| keywords[4].id | https://openalex.org/keywords/hazard |
| keywords[4].score | 0.6076447367668152 |
| keywords[4].display_name | Hazard |
| keywords[5].id | https://openalex.org/keywords/early-warning-system |
| keywords[5].score | 0.5451109409332275 |
| keywords[5].display_name | Early warning system |
| keywords[6].id | https://openalex.org/keywords/real-time-computing |
| keywords[6].score | 0.49031832814216614 |
| keywords[6].display_name | Real-time computing |
| keywords[7].id | https://openalex.org/keywords/computer-security |
| keywords[7].score | 0.43670040369033813 |
| keywords[7].display_name | Computer security |
| keywords[8].id | https://openalex.org/keywords/simulation |
| keywords[8].score | 0.335842490196228 |
| keywords[8].display_name | Simulation |
| keywords[9].id | https://openalex.org/keywords/telecommunications |
| keywords[9].score | 0.2037276327610016 |
| keywords[9].display_name | Telecommunications |
| language | en |
| locations[0].id | doi:10.1155/2022/2922507 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S120683614 |
| locations[0].source.issn | 1939-0114, 1939-0122 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1939-0114 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Security and Communication Networks |
| locations[0].source.host_organization | https://openalex.org/P4310319869 |
| locations[0].source.host_organization_name | Hindawi Publishing Corporation |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319869 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://downloads.hindawi.com/journals/scn/2022/2922507.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Security and Communication Networks |
| locations[0].landing_page_url | https://doi.org/10.1155/2022/2922507 |
| locations[1].id | pmh:oai:doaj.org/article:2bb883abda6349a3b754a6530bcc0b2a |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].source.host_organization_lineage | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Security and Communication Networks, Vol 2022 (2022) |
| locations[1].landing_page_url | https://doaj.org/article/2bb883abda6349a3b754a6530bcc0b2a |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5101544285 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6905-6921 |
| authorships[0].author.display_name | Rongxia Wang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210115515 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Information Engineering, Guangzhou Nanyang Polytechnic College, Guangzhou 510925, Guangdong Province, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210115515 |
| authorships[0].institutions[0].ror | https://ror.org/0203c2755 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210115515 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Nanyang Institute of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rongxia Wang |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | School of Information Engineering, Guangzhou Nanyang Polytechnic College, Guangzhou 510925, Guangdong Province, China |
| authorships[1].author.id | https://openalex.org/A5054294591 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0254-2984 |
| authorships[1].author.display_name | Zhifang Liu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210115515 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Information Engineering, Guangzhou Nanyang Polytechnic College, Guangzhou 510925, Guangdong Province, China |
| authorships[1].institutions[0].id | https://openalex.org/I4210115515 |
| authorships[1].institutions[0].ror | https://ror.org/0203c2755 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210115515 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Nanyang Institute of Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhifang Liu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Information Engineering, Guangzhou Nanyang Polytechnic College, Guangzhou 510925, Guangdong Province, China |
| authorships[2].author.id | https://openalex.org/A5101523836 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Shufeng Yang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I132586189 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Mechatronics Engineering, Zhongyuan University of Technology, Zhengzhou 45007, China |
| authorships[2].institutions[0].id | https://openalex.org/I132586189 |
| authorships[2].institutions[0].ror | https://ror.org/0360zcg91 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I132586189 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Zhongyuan University of Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Shufeng Yang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Mechatronics Engineering, Zhongyuan University of Technology, Zhengzhou 45007, China |
| authorships[3].author.id | https://openalex.org/A5100438349 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Jianxing Wang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I63371133 |
| authorships[3].affiliations[0].raw_affiliation_string | Information Science and Engineering, Chongqing Jiaotong University, 400074 Chongqing, China |
| authorships[3].institutions[0].id | https://openalex.org/I63371133 |
| authorships[3].institutions[0].ror | https://ror.org/01t001k65 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I63371133 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Chongqing Jiaotong University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Jianxing Wang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Information Science and Engineering, Chongqing Jiaotong University, 400074 Chongqing, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://downloads.hindawi.com/journals/scn/2022/2922507.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-05-22T00:00:00 |
| display_name | Implementation of Driving Safety Early Warning System Based on Trajectory Prediction on the Internet of Vehicles Environment |
| has_fulltext | True |
| is_retracted | True |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11099 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2203 |
| primary_topic.subfield.display_name | Automotive Engineering |
| primary_topic.display_name | Autonomous Vehicle Technology and Safety |
| related_works | https://openalex.org/W2019221308, https://openalex.org/W2366686155, https://openalex.org/W1044530532, https://openalex.org/W2383173999, https://openalex.org/W2899102479, https://openalex.org/W3125817379, https://openalex.org/W2369926976, https://openalex.org/W2381743810, https://openalex.org/W2349162035, https://openalex.org/W2402451758 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1155/2022/2922507 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S120683614 |
| best_oa_location.source.issn | 1939-0114, 1939-0122 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1939-0114 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Security and Communication Networks |
| best_oa_location.source.host_organization | https://openalex.org/P4310319869 |
| best_oa_location.source.host_organization_name | Hindawi Publishing Corporation |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319869 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://downloads.hindawi.com/journals/scn/2022/2922507.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Security and Communication Networks |
| best_oa_location.landing_page_url | https://doi.org/10.1155/2022/2922507 |
| primary_location.id | doi:10.1155/2022/2922507 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S120683614 |
| primary_location.source.issn | 1939-0114, 1939-0122 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1939-0114 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Security and Communication Networks |
| primary_location.source.host_organization | https://openalex.org/P4310319869 |
| primary_location.source.host_organization_name | Hindawi Publishing Corporation |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319869 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://downloads.hindawi.com/journals/scn/2022/2922507.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Security and Communication Networks |
| primary_location.landing_page_url | https://doi.org/10.1155/2022/2922507 |
| publication_date | 2022-05-19 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2530088678, https://openalex.org/W2593776997, https://openalex.org/W2940488468, https://openalex.org/W2967730887, https://openalex.org/W2809052897, https://openalex.org/W3002308032, https://openalex.org/W2938095415, https://openalex.org/W2767925525, https://openalex.org/W3103635597, https://openalex.org/W3113241502, https://openalex.org/W2971859197, https://openalex.org/W2991137082, https://openalex.org/W2802543630, https://openalex.org/W6680984388, https://openalex.org/W2897638129, https://openalex.org/W2794743921, https://openalex.org/W3090823262, https://openalex.org/W2424778531, https://openalex.org/W3039953768, https://openalex.org/W3018511429, https://openalex.org/W3127710918, https://openalex.org/W3131807685, https://openalex.org/W2143071398, https://openalex.org/W3035054225 |
| referenced_works_count | 24 |
| abstract_inverted_index.3 | 146 |
| abstract_inverted_index.a | 3, 34, 90 |
| abstract_inverted_index.In | 87 |
| abstract_inverted_index.It | 45, 67 |
| abstract_inverted_index.as | 179 |
| abstract_inverted_index.at | 196 |
| abstract_inverted_index.in | 56, 71 |
| abstract_inverted_index.is | 33, 96, 121, 134, 140, 158, 177 |
| abstract_inverted_index.of | 6, 16, 26, 30, 74, 105, 153, 171, 184, 192 |
| abstract_inverted_index.on | 38, 99, 102, 118 |
| abstract_inverted_index.to | 124, 149, 181, 209 |
| abstract_inverted_index.up | 80 |
| abstract_inverted_index.The | 13, 28, 130, 162, 201 |
| abstract_inverted_index.and | 8, 23, 42, 49, 54, 63, 78, 128, 136, 148, 213 |
| abstract_inverted_index.are | 19, 143, 194 |
| abstract_inverted_index.for | 83 |
| abstract_inverted_index.has | 206 |
| abstract_inverted_index.new | 81 |
| abstract_inverted_index.the | 20, 40, 59, 72, 103, 110, 113, 125, 137, 151, 154, 156, 167, 172, 182, 207 |
| abstract_inverted_index.89%. | 200 |
| abstract_inverted_index.Data | 142 |
| abstract_inverted_index.data | 64 |
| abstract_inverted_index.five | 160 |
| abstract_inverted_index.into | 145 |
| abstract_inverted_index.most | 191 |
| abstract_inverted_index.road | 214 |
| abstract_inverted_index.show | 165 |
| abstract_inverted_index.test | 163 |
| abstract_inverted_index.than | 199 |
| abstract_inverted_index.that | 166 |
| abstract_inverted_index.this | 88 |
| abstract_inverted_index.with | 58 |
| abstract_inverted_index.After | 108 |
| abstract_inverted_index.based | 37, 98, 117 |
| abstract_inverted_index.cause | 2 |
| abstract_inverted_index.early | 85, 93, 188, 203 |
| abstract_inverted_index.error | 133 |
| abstract_inverted_index.every | 11 |
| abstract_inverted_index.large | 4, 35 |
| abstract_inverted_index.lower | 198 |
| abstract_inverted_index.opens | 79 |
| abstract_inverted_index.which | 193 |
| abstract_inverted_index.year. | 12 |
| abstract_inverted_index.89.4%, | 178 |
| abstract_inverted_index.causes | 15 |
| abstract_inverted_index.demand | 126 |
| abstract_inverted_index.hazard | 76 |
| abstract_inverted_index.losses | 10 |
| abstract_inverted_index.method | 205 |
| abstract_inverted_index.mobile | 43 |
| abstract_inverted_index.number | 5 |
| abstract_inverted_index.reduce | 210 |
| abstract_inverted_index.safety | 84, 92, 115, 187 |
| abstract_inverted_index.study, | 89 |
| abstract_inverted_index.system | 32, 95, 111, 116, 175 |
| abstract_inverted_index.times. | 161 |
| abstract_inverted_index.Traffic | 0 |
| abstract_inverted_index.avenues | 82 |
| abstract_inverted_index.between | 52 |
| abstract_inverted_index.divided | 144 |
| abstract_inverted_index.driving | 91, 114, 186 |
| abstract_inverted_index.groups, | 147 |
| abstract_inverted_index.network | 36 |
| abstract_inverted_index.primary | 14 |
| abstract_inverted_index.results | 164 |
| abstract_inverted_index.system, | 155 |
| abstract_inverted_index.tested. | 129 |
| abstract_inverted_index.traffic | 17, 215 |
| abstract_inverted_index.vehicle | 75, 211 |
| abstract_inverted_index.warning | 94, 189, 204 |
| abstract_inverted_index.Internet | 29, 104 |
| abstract_inverted_index.Vehicles | 31, 106 |
| abstract_inverted_index.accuracy | 170, 183, 197 |
| abstract_inverted_index.analysis | 127 |
| abstract_inverted_index.compared | 180 |
| abstract_inverted_index.designed | 122, 176 |
| abstract_inverted_index.disposal | 25 |
| abstract_inverted_index.drivers. | 27 |
| abstract_inverted_index.economic | 9 |
| abstract_inverted_index.exchange | 51, 65 |
| abstract_inverted_index.existing | 185 |
| abstract_inverted_index.performs | 46 |
| abstract_inverted_index.proposed | 97, 202 |
| abstract_inverted_index.protocol | 62 |
| abstract_inverted_index.provides | 68 |
| abstract_inverted_index.repeated | 159 |
| abstract_inverted_index.response | 22 |
| abstract_inverted_index.roadways | 55 |
| abstract_inverted_index.systems, | 190 |
| abstract_inverted_index.validate | 150 |
| abstract_inverted_index.vehicles | 53 |
| abstract_inverted_index.warning. | 86 |
| abstract_inverted_index.wireless | 47 |
| abstract_inverted_index.Internet, | 41 |
| abstract_inverted_index.Internet. | 44 |
| abstract_inverted_index.accidents | 1, 18 |
| abstract_inverted_index.according | 123 |
| abstract_inverted_index.analyzing | 109 |
| abstract_inverted_index.collected | 138 |
| abstract_inverted_index.detected, | 135 |
| abstract_inverted_index.detection | 77 |
| abstract_inverted_index.potential | 208 |
| abstract_inverted_index.technical | 69 |
| abstract_inverted_index.accidents. | 216 |
| abstract_inverted_index.accordance | 57 |
| abstract_inverted_index.assistance | 70 |
| abstract_inverted_index.casualties | 7 |
| abstract_inverted_index.collisions | 212 |
| abstract_inverted_index.experiment | 157 |
| abstract_inverted_index.intranets, | 39 |
| abstract_inverted_index.predicted. | 141 |
| abstract_inverted_index.prediction | 101, 120, 132, 169, 174 |
| abstract_inverted_index.standards. | 66 |
| abstract_inverted_index.trajectory | 100, 119, 131, 139, 168, 173 |
| abstract_inverted_index.agreed-upon | 60 |
| abstract_inverted_index.inadvertent | 21 |
| abstract_inverted_index.information | 50 |
| abstract_inverted_index.performance | 152 |
| abstract_inverted_index.concentrated | 195 |
| abstract_inverted_index.environment. | 107 |
| abstract_inverted_index.communication | 48, 61 |
| abstract_inverted_index.inappropriate | 24 |
| abstract_inverted_index.requirements, | 112 |
| abstract_inverted_index.implementation | 73 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5101544285 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I4210115515 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.61175111 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |