Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways
The larger the proportion of truck traffic volume, the greater the impact on traffic efficiency, and overtaking behavior will also have an impact. Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is ca...
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Veröffentlicht in: | Sustainability 2021-12, Vol.13 (23), p.13097 |
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description | The larger the proportion of truck traffic volume, the greater the impact on traffic efficiency, and overtaking behavior will also have an impact. Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is carried out. This involves selecting the appropriate two-lane test section, recording each moment and speed in the driver’s overtaking behavior, performing multiple regression analysis to examine the relationship between the overtaking conflict time and design speed and traffic volume, determining a reasonable evaluation series of two-lane road overtaking risk and the corresponding overtaking conflict time threshold by the Fisher optimal segmentation method, and giving an overtaking behavior risk evaluation method based on conflict time. Finally, according to the overtaking conflict time model, different truck traffic conditions are obtained. The research results show that overtaking conflict time is negatively correlated with the traffic volume and design speed of the lane. Through the risk assessment of the corresponding overtaking behavior, the three levels of serious conflict, general conflict and non-conflict are determined, and the freight traffic volume corresponding to different conflict levels at different speeds is calculated, which provides a reference for setting auxiliary lanes for the two-lane freight highway. |
doi_str_mv | 10.3390/su132313097 |
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Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is carried out. This involves selecting the appropriate two-lane test section, recording each moment and speed in the driver’s overtaking behavior, performing multiple regression analysis to examine the relationship between the overtaking conflict time and design speed and traffic volume, determining a reasonable evaluation series of two-lane road overtaking risk and the corresponding overtaking conflict time threshold by the Fisher optimal segmentation method, and giving an overtaking behavior risk evaluation method based on conflict time. Finally, according to the overtaking conflict time model, different truck traffic conditions are obtained. The research results show that overtaking conflict time is negatively correlated with the traffic volume and design speed of the lane. Through the risk assessment of the corresponding overtaking behavior, the three levels of serious conflict, general conflict and non-conflict are determined, and the freight traffic volume corresponding to different conflict levels at different speeds is calculated, which provides a reference for setting auxiliary lanes for the two-lane freight highway.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su132313097</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Design optimization ; Fatalities ; Freight traffic ; Highways ; Multiple regression analysis ; Overtaking ; Risk assessment ; Risk taking ; Roads & highways ; Segmentation ; Sustainability ; Traffic accidents & safety ; Traffic models ; Traffic speed ; Traffic volume ; Transportation planning ; Trucks</subject><ispartof>Sustainability, 2021-12, Vol.13 (23), p.13097</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is carried out. This involves selecting the appropriate two-lane test section, recording each moment and speed in the driver’s overtaking behavior, performing multiple regression analysis to examine the relationship between the overtaking conflict time and design speed and traffic volume, determining a reasonable evaluation series of two-lane road overtaking risk and the corresponding overtaking conflict time threshold by the Fisher optimal segmentation method, and giving an overtaking behavior risk evaluation method based on conflict time. Finally, according to the overtaking conflict time model, different truck traffic conditions are obtained. The research results show that overtaking conflict time is negatively correlated with the traffic volume and design speed of the lane. Through the risk assessment of the corresponding overtaking behavior, the three levels of serious conflict, general conflict and non-conflict are determined, and the freight traffic volume corresponding to different conflict levels at different speeds is calculated, which provides a reference for setting auxiliary lanes for the two-lane freight highway.</description><subject>Design optimization</subject><subject>Fatalities</subject><subject>Freight traffic</subject><subject>Highways</subject><subject>Multiple regression analysis</subject><subject>Overtaking</subject><subject>Risk assessment</subject><subject>Risk taking</subject><subject>Roads & highways</subject><subject>Segmentation</subject><subject>Sustainability</subject><subject>Traffic accidents & safety</subject><subject>Traffic models</subject><subject>Traffic speed</subject><subject>Traffic volume</subject><subject>Transportation planning</subject><subject>Trucks</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUMFOwzAMjRBITGMnfiASR1SwkzRNj9MEDGkSEgyuVZomLGNrRrJq7O_pGIf5YD9Lz_bzI-Qa4Y7zEu5Th5xx5FAWZ2TAoMAMIYfzE3xJRiktoQ_OsUQ5IG-vNlkdzYKGls5jZ776rJ3zhn6EVbe2dBLaxm99aBMNjo67H7_yOu7pTLc2_U3tQnZo6NR_LnZ6n67IhdOrZEf_dUjeHx_mk2k2e3l6noxnmWGl2mbOCNnIWqJ2mIteNhrVOKNsnrscZdHUCrQukbEaFLhCG4RGOyEUAw1C8iG5Oe7dxPDd2bStlqGLbX-yYhIUCsEU61m3R5aJIaVoXbWJft1_UCFUB-OqE-P4L_4jXwQ</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Cheng, Guozhu</creator><creator>Mu, Changru</creator><creator>Xu, Liang</creator><creator>Kang, Xuejian</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-9768-2962</orcidid></search><sort><creationdate>20211201</creationdate><title>Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways</title><author>Cheng, Guozhu ; Mu, Changru ; Xu, Liang ; Kang, Xuejian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-fc46d6b61af1543091c8dfc8e55f5167db80aa9122b080f7ac10daf44820a0463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Design optimization</topic><topic>Fatalities</topic><topic>Freight traffic</topic><topic>Highways</topic><topic>Multiple regression analysis</topic><topic>Overtaking</topic><topic>Risk assessment</topic><topic>Risk taking</topic><topic>Roads & highways</topic><topic>Segmentation</topic><topic>Sustainability</topic><topic>Traffic accidents & safety</topic><topic>Traffic models</topic><topic>Traffic speed</topic><topic>Traffic volume</topic><topic>Transportation planning</topic><topic>Trucks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Guozhu</creatorcontrib><creatorcontrib>Mu, Changru</creatorcontrib><creatorcontrib>Xu, Liang</creatorcontrib><creatorcontrib>Kang, Xuejian</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Publicly Available Content database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Guozhu</au><au>Mu, Changru</au><au>Xu, Liang</au><au>Kang, Xuejian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways</atitle><jtitle>Sustainability</jtitle><date>2021-12-01</date><risdate>2021</risdate><volume>13</volume><issue>23</issue><spage>13097</spage><pages>13097-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The larger the proportion of truck traffic volume, the greater the impact on traffic efficiency, and overtaking behavior will also have an impact. Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is carried out. This involves selecting the appropriate two-lane test section, recording each moment and speed in the driver’s overtaking behavior, performing multiple regression analysis to examine the relationship between the overtaking conflict time and design speed and traffic volume, determining a reasonable evaluation series of two-lane road overtaking risk and the corresponding overtaking conflict time threshold by the Fisher optimal segmentation method, and giving an overtaking behavior risk evaluation method based on conflict time. Finally, according to the overtaking conflict time model, different truck traffic conditions are obtained. The research results show that overtaking conflict time is negatively correlated with the traffic volume and design speed of the lane. Through the risk assessment of the corresponding overtaking behavior, the three levels of serious conflict, general conflict and non-conflict are determined, and the freight traffic volume corresponding to different conflict levels at different speeds is calculated, which provides a reference for setting auxiliary lanes for the two-lane freight highway.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su132313097</doi><orcidid>https://orcid.org/0000-0002-9768-2962</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Design optimization Fatalities Freight traffic Highways Multiple regression analysis Overtaking Risk assessment Risk taking Roads & highways Segmentation Sustainability Traffic accidents & safety Traffic models Traffic speed Traffic volume Transportation planning Trucks |
title | Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways |
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