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Article
Peer-Review Record

Travel-Time Estimation by Cubic Hermite Curve

Information 2022, 13(7), 307; https://doi.org/10.3390/info13070307
by Owen Tamin 1,2, Badrul Ikram 1, Ahmad Lutfi Amri Ramli 1, Ervin Gubin Moung 2,* and Christie Chin Pei Yee 2
Reviewer 1:
Reviewer 2:
Reviewer 3:
Information 2022, 13(7), 307; https://doi.org/10.3390/info13070307
Submission received: 25 May 2022 / Revised: 10 June 2022 / Accepted: 17 June 2022 / Published: 23 June 2022
(This article belongs to the Special Issue Soft Computing in Intelligent Transportation System)

Round 1

Reviewer 1 Report

This paper presented the “Travel time estimation by cubic Hermite curve”. Travel time is usually referred to by the vehicle’s total distance and average speed. However, the route’s curvature is also significant that is considerable. This study aims to estimate travel time using the curvature value to investigate the method of Hermite Interpolation curve. The results indicated that the proposed Hermite curve estimates travel time more accurately than Google Maps and Waze. The contribution offers the pathway to help the users estimate their travel time accurately. This paper is relevant and valuable to the readers of Information Applications. However, several places need to be revised. There, I recommend publication of this paper subject after major revision. The following changes to improve this paper was suggested.

 

  1. On page 1, lines 17 to 21, “The emergence of the Global Positioning System……from one place to another”, please cite references to support these records.
  2. Introduction, the authors need to improve the research motivation. As the authors mentioned that GSP does not consider drivers’ driving speed and curvature of the road in predicting the estimated travel time, I also wonder to know more about the GPS’s weakness and Hermite interpolation curve’s merits. The authors might give some examples to express this issue. Why do we need to improve this improve the problem? I believe that will help you have a strong motivation.
  3. Introduction, the value of this paper is not significant. This means that the authors shall demonstrate the difference between this study and the others. The authors may read more papers in this field and do dome examples to explain the differences from other research to increase research values.
  4. Literature review, lines 53 to 69, the authors mentioned many things related to driver’s attitudes and safety issues. However, I am confused about why the authors discuss these issues here in the literature review. First, drivers’ attitudes and safety issues are irrelevant. I do not think this study needs this literature. Second, they seem not like literature but like a research background. If the authors insist they are necessary, please move them to Introduction. 
  5. Please check the reference on page 6, line142, “According to Leisch and Leish (year), design speed……”.
  6. In conclusion, the conclusion is more like a project report but lists some suggestions without giving a benefits discussion. Are there any comments after finding something? How employ these findings? Do the authors provide any comments for future work?  

 

 

Author Response

Dear reviewer,

 

The manuscript has been changed in response to the reviewer's recommendations, and our responses to all of them are in the attached file.

 

Thank you very much

Author Response File: Author Response.pdf

Reviewer 2 Report

1 165 / 5 000  

 

Wyniki tłumaczenia

   

 

The authors describe an interesting method of travel time estimation by cubic Hermite curve. The Hermite interpolation curve, is used to ensure connection and tangent continuity between segments, which is essential in visualization. Some GPS-based navigation applications such as Waze and Google Maps allow users to plan a route based on travel time from one place to another. These applications don't consider the route’s curvature. That is why, using the curvature value obtained from the Hermite interpolation curve can fit to each section of the selected road. The proposed method’s accuracy demonstrated that the proposed method estimates travel time more accurately than Google Maps and Waze. There are, however, some weaknesses in the manuscript as well. 1. There is no scientific purpose in the Introduction. There is also no description of the manuscript organization. 2. How the application will perform when traffic data into the algorithm. 3. Typos and small errors: a) Formulas (1) - (3) require citations; b) Line 247: 10,000km => 10,000 km c) Label of Figure 1 should be on the same page as Figure 1. The work may be published after the Authors have made the necessary corrections.

Author Response

Dear reviewer,

 

The manuscript has been changed in response to the reviewer's recommendations, and our responses to all of them are in the attached file.

 

Thank you very much

Author Response File: Author Response.pdf

Reviewer 3 Report

Dear Authors,

 

Very interesting to read your paper. Please see below some comments regarding your paper.

In Table 1 and Table 2 label the column of methods used for the time estimation.

In your conclusion, please state your opinion about the divergence of results from the other methods, and also compare your results with other results from the literatura.

Kind regards.

 

Author Response

Dear reviewer,

 

The manuscript has been changed in response to the reviewer's recommendations, and our responses to all of them are in the attached file.

 

Thank you very much

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

This paper presented the “Travel time estimation by cubic Hermite curve”. Travel time is usually referred to by the vehicle’s total distance and average speed. However, the route’s curvature is also significant that is considerable. This study aims to estimate travel time using the curvature value to investigate the method of Hermite Interpolation curve. The results indicated that the proposed Hermite curve estimates travel time more accurately than Google Maps and Waze. The contribution offers the pathway to help the users estimate their travel time accurately. This paper is relevant and valuable to the readers of Information Applications. The paper has revised according to my comments. I am delighted to accept the paper without further comments.

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