Dynamic freeway travel-time prediction with probe vehicle data - Link based versus path based

被引:123
作者
Chen, M
Chien, SIJ
机构
[1] New Jersey Inst Technol, Natl Ctr Transportat & Ind Prod, Newark, NJ 07102 USA
[2] New Jersey Inst Technol, Dept Civil & Environm Engn, Newark, NJ 07102 USA
来源
TRANSPORTATION DATA AND INFORMATION TECHNOLOGY: PLANNING AND ADMINISTRATION | 2001年 / 1768期
关键词
D O I
10.3141/1768-19
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Short-term travel-time prediction is very important to the real-time traveler information and route guidance system. Various methodologies have been developed for dynamic travel-time prediction. However, most existing studies assume that path travel time is the simple addition of travel times on the consisting links. Through simulation, it is shown that, under recurrent traffic conditions, direct measuring of path-based (or movement-based) travel time rather than link-based travel time could generate a more accurate prediction. Factors that would have an effect on the prediction accuracy are analyzed.
引用
收藏
页码:157 / 161
页数:5
相关论文
共 17 条
[1]  
Al-Deek HM, 1998, APPLICATIONS OF ADVANCED TECHNOLOGIES IN TRANSPORTATION, P317
[2]  
ANDERSON J, 1994, P IFAC IFORS 7 S TRA, P621
[3]  
[Anonymous], 1996, TRANSPORTATION RES R, DOI DOI 10.3141/1537-03
[4]   Determining the number of probe vehicles for freeway travel time estimation by microscopic simulation [J].
Chen, M ;
Chien, SIJ .
TRANSPORTATION DATA, STATISTICS, AND INFORMATION TECHNOLOGY: PLANNING AND ADMINISTRATION, 2000, (1719) :61-68
[5]  
D'Angelo M.P., 1999, J TRANSPORTATION RES, V1676, P184
[6]  
*GARM ASS, 1991, INT 80 CORR TRANSP N
[7]  
Kalman R. E., 1960, Journal of Basic Engineering, V82, P35
[8]  
ODA T, 1990, IEE CONF PUBL, V320, P40
[9]   DYNAMIC PREDICTION OF TRAFFIC VOLUME THROUGH KALMAN FILTERING THEORY [J].
OKUTANI, I ;
STEPHANEDES, YJ .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1984, 18 (01) :1-11
[10]  
Okutani I., 1987, TRANSPORTATION TRAFF