A review of travel-time prediction in transport and logistica

Travel-time information could be applied in various fields and purposes. From the travellers' viewpoints, the travel-time information helps to save travel-time and improve reliability through the selection of travel routes pre-trip and en-route. In the application of logistics, travel-time information could reduce the delivery costs, increase the reliability of delivery, and improve the service quality. For traffic managers, travel-time information is an important index for traffic system operation. A review of the literature has indicated that travel-time can be predicted through a number of alternative methods using various input data. This paper provided a systematic review and comparisons in the field of travel-time prediction. The purpose is to broaden the perspective of research beyond the individual techniques and then provide a detailed overview of travel-time prediction information for future researchers concerning this area. In addition, the paper also provides some finding from field survey data in the later part.

[1]  J. Anderson,et al.  Travel time estimation in urban road networks , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[2]  M. Abdelguerfi,et al.  Introduction 1.2 Parallel Database Systems 1.2.1 Computation Model 2 1.2 Parallel Database Systems Introduction Select * from Employee, Department Where (employee.dept_no @bullet Department.dept_no) and (employee.position = "manager") (a) Sql Request 1.2.2 Engineering Model , 2022 .

[3]  R. Zito,et al.  THE USE OF GPS IN TRAVEL-TIME SURVEYS , 1994 .

[4]  Kevin Swingler,et al.  Applying neural networks - a practical guide , 1996 .

[5]  Mark Dougherty,et al.  A REVIEW OF NEURAL NETWORKS APPLIED TO TRANSPORT , 1995 .

[6]  Jeremy Woolley,et al.  Integration of the global positioning system and geographical information systems for traffic congestion studies , 2000 .

[7]  Xiaoyan Zhang,et al.  Short-term travel time prediction , 2003 .

[8]  Darryn Paterson,et al.  Dynamic travel time estimation on instrumented freeways , 1999 .

[9]  G Rose.  APPLICATIONS OF ADVANCED TRAFFIC CONTROL TECHNOLOGY , 1996 .

[10]  Laurence R. Rilett,et al.  Travel Time Prediction by Advanced Neural Network , 2002 .

[11]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.

[12]  R. S. Trayford,et al.  DELIVERY OF REAL-TIME AND PREDICTIVE TRAVEL TIME INFORMATION: EXPERIENCES FROM A MELBOURNE TRIAL , 2000 .

[13]  Kevin M. Taaffe,et al.  Transportation applications , 1994, Proceedings of Winter Simulation Conference.

[14]  Peter Bonsall,et al.  Understanding Traffic Systems: Data Analysis and Presentation , 1996 .

[15]  Catherine McGhee,et al.  Toward increased use of simulation in transportation , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[16]  K W Ogden,et al.  TRAFFIC ENGINEERING AND MANAGEMENT. , 1996 .

[17]  William L Eisele,et al.  TRAVEL TIME DATA COLLECTION HANDBOOK , 1998 .

[18]  Yanying Li,et al.  Link travel time estimation using single GPS equipped probe vehicle , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[19]  Guiyan Jiang,et al.  Travel-time prediction for urban arterial road: a case on China , 2001, IVEC2001. Proceedings of the IEEE International Vehicle Electronics Conference 2001. IVEC 2001 (Cat. No.01EX522).

[20]  稲村 肇,et al.  Proceedings of the Eastern Asia society for transportation studies , 1997 .

[21]  Sherif Ishak,et al.  Performance evaluation of short-term time-series traffic prediction model , 2002 .

[22]  Peter R. Stopher,et al.  Paper title: Collecting data with GPS: those who reject, and those who receive , 2004 .

[23]  R Zito,et al.  Using GPS to Measure Traffic System Performance , 1999 .

[24]  K. M. Lum,et al.  Speed-Flow Modeling of Arterial Roads in Singapore , 1998 .

[25]  Guiyan Jiang,et al.  Travel time prediction for urban arterial road , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[26]  J.-G. Remy.  Computing travel time estimates from GSM signalling messages: the STRIP project , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[27]  Steven I-Jy Chien,et al.  DYNAMIC TRAVEL TIME PREDICTION WITH REAL-TIME AND HISTORICAL DATA , 2003 .

[28]  Howard R Kirby,et al.  THE DEVELOPMENT OF TRAFFIC AND TRANSPORT APPLICATIONS OF ARTIFICIAL INTELLIGENCE. , 1994 .