Analysis and improvement of vehicle information sharing networks
Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant...
Gespeichert in:
| Veröffentlicht in: | Physica A 2016-06, Vol.452, p.106-112 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 112 |
|---|---|
| container_issue | |
| container_start_page | 106 |
| container_title | Physica A |
| container_volume | 452 |
| creator | Gong, Hang He, Kun Qu, Yingchun Wang, Pu |
| description | Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network’s coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.
•Analysis of vehicle information sharing network using realistic travel demand.•Extend information coverage by adding only a few long-range connections.•Optimal design strategy is employed to improve efficiency of information transmission. |
| doi_str_mv | 10.1016/j.physa.2016.01.062 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1816084760</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0378437116001096</els_id><sourcerecordid>1816084760</sourcerecordid><originalsourceid>FETCH-LOGICAL-c336t-51044ce45cc38cceadb06b510c1cb9a0dec05e83933577facc5076a465884ed13</originalsourceid><addsrcrecordid>eNp9kE1PwzAMhiMEEmPwC7j0yKXFWdokOyAxTXxJk7jAOcpcl2W0yUi6of17OsaZk2XrfSz7YeyaQ8GBy9t1sVntky0mQ1MAL0BOTtiIayXyCefTUzYCoXReCsXP2UVKawDgSkxG7H7mbbtPLmXW15nrNjHsqCPfZ6HJdrRy2FLmfBNiZ3sXfJZWNjr_kXnqv0P8TJfsrLFtoqu_Ombvjw9v8-d88fr0Mp8tchRC9nnFoSyRygpRaESy9RLkcpgix-XUQk0IFWkxFaJSqrGIFShpS1lpXVLNxZjdHPcOF35tKfWmcwmpba2nsE2Gay5Bl0rCEBXHKMaQUqTGbKLrbNwbDubgy6zNry9z8GWAm8HXQN0dKRq-2DmKJqEjj1S7SNibOrh_-R-EnXWo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1816084760</pqid></control><display><type>article</type><title>Analysis and improvement of vehicle information sharing networks</title><source>Elsevier ScienceDirect Journals</source><creator>Gong, Hang ; He, Kun ; Qu, Yingchun ; Wang, Pu</creator><creatorcontrib>Gong, Hang ; He, Kun ; Qu, Yingchun ; Wang, Pu</creatorcontrib><description>Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network’s coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.
•Analysis of vehicle information sharing network using realistic travel demand.•Extend information coverage by adding only a few long-range connections.•Optimal design strategy is employed to improve efficiency of information transmission.</description><identifier>ISSN: 0378-4371</identifier><identifier>EISSN: 1873-2119</identifier><identifier>DOI: 10.1016/j.physa.2016.01.062</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Clusters ; Complex network ; Design improvements ; Information sharing network ; Joints ; Networks ; Optimal network design ; Optimization ; Spatial distribution ; Strategy ; Urban transportation ; Vehicles</subject><ispartof>Physica A, 2016-06, Vol.452, p.106-112</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c336t-51044ce45cc38cceadb06b510c1cb9a0dec05e83933577facc5076a465884ed13</citedby><cites>FETCH-LOGICAL-c336t-51044ce45cc38cceadb06b510c1cb9a0dec05e83933577facc5076a465884ed13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378437116001096$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Gong, Hang</creatorcontrib><creatorcontrib>He, Kun</creatorcontrib><creatorcontrib>Qu, Yingchun</creatorcontrib><creatorcontrib>Wang, Pu</creatorcontrib><title>Analysis and improvement of vehicle information sharing networks</title><title>Physica A</title><description>Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network’s coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.
•Analysis of vehicle information sharing network using realistic travel demand.•Extend information coverage by adding only a few long-range connections.•Optimal design strategy is employed to improve efficiency of information transmission.</description><subject>Clusters</subject><subject>Complex network</subject><subject>Design improvements</subject><subject>Information sharing network</subject><subject>Joints</subject><subject>Networks</subject><subject>Optimal network design</subject><subject>Optimization</subject><subject>Spatial distribution</subject><subject>Strategy</subject><subject>Urban transportation</subject><subject>Vehicles</subject><issn>0378-4371</issn><issn>1873-2119</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEmPwC7j0yKXFWdokOyAxTXxJk7jAOcpcl2W0yUi6of17OsaZk2XrfSz7YeyaQ8GBy9t1sVntky0mQ1MAL0BOTtiIayXyCefTUzYCoXReCsXP2UVKawDgSkxG7H7mbbtPLmXW15nrNjHsqCPfZ6HJdrRy2FLmfBNiZ3sXfJZWNjr_kXnqv0P8TJfsrLFtoqu_Ombvjw9v8-d88fr0Mp8tchRC9nnFoSyRygpRaESy9RLkcpgix-XUQk0IFWkxFaJSqrGIFShpS1lpXVLNxZjdHPcOF35tKfWmcwmpba2nsE2Gay5Bl0rCEBXHKMaQUqTGbKLrbNwbDubgy6zNry9z8GWAm8HXQN0dKRq-2DmKJqEjj1S7SNibOrh_-R-EnXWo</recordid><startdate>20160615</startdate><enddate>20160615</enddate><creator>Gong, Hang</creator><creator>He, Kun</creator><creator>Qu, Yingchun</creator><creator>Wang, Pu</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20160615</creationdate><title>Analysis and improvement of vehicle information sharing networks</title><author>Gong, Hang ; He, Kun ; Qu, Yingchun ; Wang, Pu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c336t-51044ce45cc38cceadb06b510c1cb9a0dec05e83933577facc5076a465884ed13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Clusters</topic><topic>Complex network</topic><topic>Design improvements</topic><topic>Information sharing network</topic><topic>Joints</topic><topic>Networks</topic><topic>Optimal network design</topic><topic>Optimization</topic><topic>Spatial distribution</topic><topic>Strategy</topic><topic>Urban transportation</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, Hang</creatorcontrib><creatorcontrib>He, Kun</creatorcontrib><creatorcontrib>Qu, Yingchun</creatorcontrib><creatorcontrib>Wang, Pu</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Physica A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, Hang</au><au>He, Kun</au><au>Qu, Yingchun</au><au>Wang, Pu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and improvement of vehicle information sharing networks</atitle><jtitle>Physica A</jtitle><date>2016-06-15</date><risdate>2016</risdate><volume>452</volume><spage>106</spage><epage>112</epage><pages>106-112</pages><issn>0378-4371</issn><eissn>1873-2119</eissn><abstract>Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network’s coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.
•Analysis of vehicle information sharing network using realistic travel demand.•Extend information coverage by adding only a few long-range connections.•Optimal design strategy is employed to improve efficiency of information transmission.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.physa.2016.01.062</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0378-4371 |
| ispartof | Physica A, 2016-06, Vol.452, p.106-112 |
| issn | 0378-4371 1873-2119 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1816084760 |
| source | Elsevier ScienceDirect Journals |
| subjects | Clusters Complex network Design improvements Information sharing network Joints Networks Optimal network design Optimization Spatial distribution Strategy Urban transportation Vehicles |
| title | Analysis and improvement of vehicle information sharing networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T20%3A39%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20and%20improvement%20of%20vehicle%20information%20sharing%20networks&rft.jtitle=Physica%20A&rft.au=Gong,%20Hang&rft.date=2016-06-15&rft.volume=452&rft.spage=106&rft.epage=112&rft.pages=106-112&rft.issn=0378-4371&rft.eissn=1873-2119&rft_id=info:doi/10.1016/j.physa.2016.01.062&rft_dat=%3Cproquest_cross%3E1816084760%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1816084760&rft_id=info:pmid/&rft_els_id=S0378437116001096&rfr_iscdi=true |