Information Categorization Based on Driver Behavior for Urban Lane-Changing Maneuvers
Information Categorization Based on Driver Behavior for Urban Lane-Changing Maneuvers
复制标题
基于驾驶员行为的城市变道操作信息分类
DOI：
10.3141/2249-11
复制
发表时间：
2011-12
影响因子：
1.7
通讯作者：
L. Elefteriadou
中科院分区：
文献类型：
--
作者：
D.J. Sun;L. Elefteriadou
近年来，交通研究人员开发了各种算法来模拟高速公路和城市街道上的换道行为。然而，大多数这些模型都是使用车辆轨迹等数据推导和验证的，没有考虑驾驶员的特征。焦点小组研究进行，以获得驾驶员相关的信息，使驾驶员的特点，可以纳入换道模型。在专题小组会议上，研究和讨论了市区街道上不同的换线方案。在每种情况下，启动车道变化的可能性进行了确定，并参与司机进行分类，根据他们的背景信息和口头反应。使用两种类型的信息来建立驾驶员特征和变道行为之间的关系：参与者的定量和定性反应。为落实研究结果提出了建议。
During recent years, transportation researchers have developed various algorithms to model lane-changing behavior on highways and urban streets. However, most of these models were derived and validated using data such as vehicle trajectories, with no consideration of driver characteristics. Focus group studies were conducted to obtain driver-related information so that driver characteristics could be incorporated into lane-changing models. Different lane-changing scenarios on urban streets were examined and discussed during the focus group meetings. The likelihood of initiating lane changes under each scenario was determined, and participating drivers were categorized according to their background information and verbal responses. Two types of information were used to establish a relationship between driver characteristics and lane-changing behavior: quantitative and qualitative responses from participants. Recommendations are provided for the implementation of study findings.
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影响因子：
1.7
作者：
R. Bertini;Steven Hansen;K. Bogenberger
通讯作者：
R. Bertini;Steven Hansen;K. Bogenberger
影响因子：
1.7
作者：
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Jorge A. Laval;Danjue Chen;K. Amer;Angshuman Guin;Soyoung Ahn
影响因子：
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作者：
Laval, JA;Daganzo, CF
通讯作者：
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DOI：
10.1016/s0965-8564(98)00039-1
发表时间：
1999-04-01
影响因子：
6.4
作者：
Kita, H
通讯作者：
Kita, H
影响因子：
1.7
作者：
D. Levinson;K. Harder;J. Bloomfield;Kasia Winiarczyk
通讯作者：
D. Levinson;K. Harder;J. Bloomfield;Kasia Winiarczyk