TransCAD交通规划实验(2)

Source df SS Mean SS F Ratio Model 2 5.39041e+006 2.69521e+006 1.85468 Error 3 4.35959e+006 1.45320e+006 Total 5 9.75000e+006

R Squared = 0.5529 Adj R Squared = 0.2548

Field Name Estimate Std. Error t stat CONSTANT 2386.27

CARS -1.38399 0.862463 -1.60470 POP 1.00669 0.524305 1.92004 Execution Time was 00:00:00.030

-----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:21 PM) Regression Model of [NHB/P] for TAZ (Selection) Field Name Mean Std Dev CARS 1375.00 1013.78

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

[NHB/P] 3000.00 1396.42 Dependent field is [NHB/P]

Source df SS Mean SS F Ratio Model 1 33112.4 33112.4 0.0136309 Error 4 9.71689e+006 2.42922e+006 Total 5 9.75000e+006

R Squared = 0.0034 Adj R Squared = -0.2458

Field Name Estimate Std. Error t stat CONSTANT 3110.37

CARS -0.0802724 0.687551 -0.116751 Execution Time was 00:00:00.047

-----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:22 PM) Regression Model of [NHB/P] for TAZ (Selection) Field Name Mean Std Dev HINC 28433.3 17043.1 [NHB/P] 3000.00 1396.42 Dependent field is [NHB/P]

Source df SS Mean SS F Ratio Model 1 540785. 540785. 0.234889 Error 4 9.20921e+006 2.30230e+006 Total 5 9.75000e+006

R Squared = 0.0555 Adj R Squared = -0.1807

Field Name Estimate Std. Error t stat CONSTANT 2451.34

HINC 0.0192965 0.0398151 0.484653 Execution Time was 00:00:00.046

-----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:22 PM) Regression Model of [NHB/P] for TAZ (Selection) -----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:23 PM) Regression Model of [NHB/P] for TAZ (Selection) Field Name Mean Std Dev ERET 225.000 136.015 EOTH 550.000 495.984 ETOT 1108.33 657.394 [NHB/P] 3000.00 1396.42

Dependent field is [NHB/P]

Source df SS Mean SS F Ratio Model 3 9.42278e+006 3.14093e+006 19.1976 Error 2 327221. 163610. Total 5 9.75000e+006

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

R Squared = 0.9664 Adj R Squared = 0.9161

Field Name Estimate Std. Error t stat CONSTANT 846.555

ERET 3.86422 1.41344 2.73391 EOTH 2.58281 0.567313 4.55270 ETOT -0.123200 0.432980 -0.284539 Execution Time was 00:00:00.030

-----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:25 PM) Regression Model of [NHB/A] for TAZ (Selection) -----------------------------------------------------------------------

Starting Procedure Linear Model Estimation with Regression Model on December 13, 2008 (08:26 PM) Regression Model of [NHB/A] for TAZ (Selection) Field Name Mean Std Dev DU 833.333 503.653 EIND 333.333 504.645 ERET 225.000 136.015 [NHB/A] 3000.00 1520.53 Dependent field is [NHB/A]

Source df SS Mean SS F Ratio Model 3 1.15490e+007 3.84967e+006 699.830 Error 2 11001.7 5500.86 Total 5 1.15600e+007

R Squared = 0.9990 Adj R Squared = 0.9976

Field Name Estimate Std. Error t stat CONSTANT 1609.25

DU 0.419728 0.226914 1.84972 EIND -1.21788 0.174530 -6.97808 ERET 6.43085 0.437556 14.6972 Execution Time was 00:00:00.046

生成FHBW_P,FHBW_A,FHBO_P,FHBO_A,FNHB_P,FNHB_A如下：

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

3.3 出行平衡：平衡结果如下：

4 出行分布

任务四的实验步骤得到ff.mtx空矩阵文件，继而得到p-a.mtx。如下：

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

将P/A格式转换为O/D格式，得到三个不同出行目的的矩阵文件，如下：

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

包含各种出行目的的矩阵文件

:

5交通分配

5.1加入外部站出行交换量后得到的最终O-D矩阵

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

5.2用户平衡分配

打开o-dfinal矩阵文件，将Highways/Streets层作为当前层，打开planning,选择traffic assignment并打开,点击ok，完成交通分配。分配结果如下

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

得到的baseasgn.dvw文件如下：

主要介绍用交通规划软件进行交通四阶段法的预测和交通分配

（二）VISSIM 仿真 …… 此处隐藏：3098字，全部文档内容请下载后查看。喜欢就下载吧 ……