Developing model of toll road traffic forecasting during ramp-up period

被引:0
作者
Dharmawan, Weka Indra [1 ]
Sjafruddin, Ade [2 ]
Frazila, Russ Bona [2 ]
Zukhruf, Febri [2 ]
机构
[1] Inst Teknol Bandung, Doctoral Study Program Civil Engn, Fac Civil & Environm Engn, Bandung, Indonesia
[2] Inst Teknol Bandung, Fac Civil & Environm Engn, Transportat Engn Res Grp, Bandung, Indonesia
来源
2ND CONFERENCE FOR CIVIL ENGINEERING RESEARCH NETWORKS (CONCERN-2 2018) | 2019年 / 270卷
关键词
ROUTE CHOICE; BEHAVIOR;
D O I
10.1051/matecconf/201927003016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Feasibility of Toll Road project investment that uses Public Private Partnership (PPP) scheme is largely determined by the accuracy of traffic forecasting as a reflection of revenue streams. The accuracy level of traffic forecasting is needed to get a description of risks and uncertainty of Toll Road projects to be invested. Unfortunately, the international studies of forecasting show to trend of overestimate, particularly occurred in the early years of the new Toll Road operation. It is the acute problem in the short term Toll Road investment or known as 'ramp-up period'. The conventional model of aggregation based on socio-economic and demographic growth has not been able to anticipate the problem, since the ramp-up period is a process of learning and adaptation for regional travellers due to changes in travel behaviour after the new Toll Road infrastructure began to operate. Accordingly, the disaggregation model is considered the most realistic used to predict the potential traffic that occur during the ramp-up period. This paper provides a review of several studies dealing with traffic forecasting model for Toll Road projects during the rump-up period.
引用
收藏
页数:7
相关论文
共 41 条
[1]  
[Anonymous], RANDOM SAMPLING ALTE
[2]  
Baeza M. A., 2008, 200801EN TRANSYT U P
[3]  
Bain R., 2004, Traffic Forecasting Risk: Study Update 2004
[4]  
Bain R., 2002, The Credit Implications of Traffic Risk in Start-Up Toll Facilities
[5]  
Bain R., 2005, Traffic Forecasting Risk Study 2005: Through Ramp-Up and Beyond
[6]  
Bain R., 2009, TRANSPORTATION
[7]  
Bain R., 2003, Traffic Forecasting Risk: Study Update 2003
[8]  
Bank W., 2005, DEMAND FORECASTING E
[9]  
Bell M.G.H., 1997, TRANSPORTATION NETWO, DOI DOI 10.1002/9781118903032
[10]  
Bierlaire M., 1999, DISCRETE CHOICE METH