深圳大学学报理工版

为分析先进出行者信息系统(advanced traveler information system,ATIS)对交通均衡的影响,建立一个考虑多用户多准则的交通均衡模型. 在模型中,根据ATIS市场占有率和用户收入水平差异将出行者分为4类,对每一类出行者,基于出行时间和出行费用线性组合的出行成本,根据Logit模型进行路径选择. 以中国深圳市梅林关的一个起讫点(origin-destination,OD)进行实证分析,发现市民出行成本与路段拥堵系数不能同时降低. 在现今经济水平下,ATIS可减少人们平均出行成本. 随着经济水平的提升,人们才会慢慢利用ATIS选择可以减少平均拥堵系数的路径. 最后,对模型参数进行了灵敏度分析.

We propose a multiclass and multicriteria traffic network equilibrium model to analyze the influence of advanced traveler information system(ATIS)on traffic equilibrium. In the model, all travelers are classified into four categories according to the market share of ATIS and the income differences of users. We make the route choice for each user according to Logit model based on the linear combination of travel time and travel cost. An origin-destination path in Meilin checkpoint in Shenzhen city of South China, is chosen to evaluate the influence of ATIS. The results reveal that travel cost and congestion coefficient cannot be reduced simultaneously. Under the current economic level, ATIS can help people decrease the average travel cost. With the economic development, people will be able to choose the path based on ATIS so as to reduce the average congestion coefficient. Finally, we lay special stress on sensitivity analysis of parameters in the model.

引言
1 模型的建立
2 实证分析
3 ATIS使用率分析
4 灵敏度分析
5 结语

图1 选取OD对间的14条路段<br/>Fig.1 (Color online)Fourteen roads between OD pairs

图1 选取OD对间的14条路段
Fig.1 (Color online)Fourteen roads between OD pairs

表1 选取OD对间的14条路段的当前信息<br/>Table 1 Current information of fourteen roads between OD pairs

表1 选取OD对间的14条路段的当前信息
Table 1 Current information of fourteen roads between OD pairs

图2 选取OD对间的6条路径<br/>Fig.2 (Color online)Six paths between OD pairs

图2 选取OD对间的6条路径
Fig.2 (Color online)Six paths between OD pairs

表2 四类出行者所占比例<br/>Table 2 Proportion of four types of travelers 单位:%

表2 四类出行者所占比例
Table 2 Proportion of four types of travelers 单位:%

图3 交通优化演化图<br/>Fig.3 (Color online)Evolution figures for the traffic optimization

图3 交通优化演化图
Fig.3 (Color online)Evolution figures for the traffic optimization

图4 固定参数的ATIS使用率的影响分析<br/>Fig.4 Analysis of ATIS usage rate with fixed parameters

图4 固定参数的ATIS使用率的影响分析
Fig.4 Analysis of ATIS usage rate with fixed parameters

图5 θm可变时ATIS使用率的影响分析<br/>Fig.5 Analysis of ATIS usage rate with variable θm

图5 θm可变时ATIS使用率的影响分析
Fig.5 Analysis of ATIS usage rate with variable θm

图6 λm参数和高收入比例可变时,ATIS使用率的影响分析<br/>Fig.6 Analysis of ATIS usage rate with variable λm and high income ratio

图6 λm参数和高收入比例可变时,ATIS使用率的影响分析
Fig.6 Analysis of ATIS usage rate with variable λm and high income ratio

图7 θm参数分析<br/>Fig.7 Analysis of parameter θm

图7 θm参数分析
Fig.7 Analysis of parameter θm

图8 λm参数分析<br/>Fig.8 Analysis of parameter λm

图8 λm参数分析
Fig.8 Analysis of parameter λm

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引言

1 模型的建立

2 实证分析

3 ATIS使用率分析

4 灵敏度分析

5 结语

期刊信息

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