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Article
Peer-Review Record

Analysis of Traffic Oversaturation Based on Multi-Objective Data

Sustainability 2022, 14(15), 9043; https://doi.org/10.3390/su14159043
by Bingsheng Huang and Fusheng Zhang *
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Sustainability 2022, 14(15), 9043; https://doi.org/10.3390/su14159043
Submission received: 7 July 2022 / Revised: 19 July 2022 / Accepted: 22 July 2022 / Published: 23 July 2022
(This article belongs to the Section Sustainable Urban and Rural Development)

Round 1

Reviewer 1 Report

Dear Authors, 
Thank you for sending an interesting paper. 
1. Please, check your paper again, and add commas where they are needed.

2. Figure 15 and Figure 16 are completely unclear and extremely hard to understand. 
3. The method chapter completely omits the important issue of simulation in VISSIM. On what basis was the model created, and how was it calibrated if the data is fictitious? Only the reader learns the residual information about the simulation in the "results" chapter.

Regards

Author Response

Response to Reviewer 1 Comments

Dear Editor and Reviewer,

Thanks so much for taking your time to review this manuscript. I really appreciate all your comments and suggestions. Please find my itemized responses in below and my revisions in the re-submitted file.

Point 1: Please, check your paper again, and add commas where they are needed.

Response 1: I have added commas in the corresponding places as possible as I can, and modified some vocabulary and grammar expressions, please refer to the comments for details.

 

Point 2: Figure 15 and Figure 16 are completely unclear and extremely hard to understand. 

Response 2: Original Figures 15 and 16 are the diagrams of trajectory figure and vehicle formation division of the entire simulation, and the corresponding explanations are the same as the original  Figures 12 and 13 (Now Figure 14 and 15). I have added a corresponding elaboration to the original image. However, due to the increase in the number of pictures, the original pictures 15 and 16 have been changed to pictures 17 and 18. 

 

Point 3: The method chapter completely omits the important issue of simulation in VISSIM. On what basis was the model created, and how was it calibrated if the data is fictitious? Only the reader learns the residual information about the simulation in the "results" chapter.

Response 3: The purpose of using Vissim is to obtain and analyze the data of all vehicles during the evolution of oversaturation. By controlling the traffic volume and the dissipated efficiency of the signal lights, it is possible to reproduce the oversaturated traffic scene and obtain the corresponding data. I have added the description of simulation and data in chapter 2.1 of "method", and added the experimental design diagram of the oversaturation scene and the experimental screenshots of the Vissim simulation software when simulating oversaturation.

 

Thanks again

Reviewer 2 Report

A good study is presented in the paper, which is modeled with queuing theory and adapted to urban traffic management. The manuscript was very well written and  I found the method to solve the problem was novel.

In the article, traffic management optimization is discussed and analyzed in terms of air pollution. Air pollution due to the toxic gases produced by vehicles is an important problem for crowded cities, and I have not seen such a study that tries to control traffic signaling by using air pollution amount as a parameter before.

The handling of the problem and experimental studies were found to be sufficient. The figures in the article were well designed, explanatory and helpful in understanding the problem.

Author Response

Dear Editor and Reviewers,

Thanks so much for taking your time to review this manuscript. I really appreciate all your comments and suggestions.

Thanks again for acknowledging the work we do. In view of the fact that no relevant questions have been found in your comments, we will not reply to your relevant questions at this time. If you have any questions, please feel free to contact us at any time.

Sincerely

Reviewer 3 Report

The structure of the manuscript is well. The goal and its importance to the journal topics are correctly argued. Methodology, research, and results are presented clearly. I evaluate this work high and I formulate only one important remark concerning “the background” for research.

The literature review is quite weak. It contains only 22, “not all fresh” positions. They came from a selected group of journals (mainly from Transportation Research). I recommend the enlargement of such a review using more number of representative journals. For example, in the last years 5 papers according to keywords “traffic oversaturation” was published in Sustainability or in Sensors (MDPI Publisher). The number of papers connected with the keywords “traffic congestion” is more distinct. Only in the Sustainability journal and only in the year 2022 almost 40 papers were published.

Assuming the potential enlargement of the literature review (description of former studies), the comparison of obtained results with older ones in the discussion part of the paper is also recommended. Please make such comments referenced to the specific positions from the list.

Author Response

Response to Reviewer 3 Comments

Dear Editor and Reviewers,

Thanks so much for taking your time to review this manuscript. I really appreciate all your comments and suggestions. Please find my responses and revisions in the re-submitted file.

Point 1: Weak literature

Response: According to your comments about the "background" of the research, on the basis of the original literature, we have cited another 14 literatures from Sustainability and Sensors. For details, please refer to the notes.

We have added references to relevant literature in "introduction" and "methods". In addition, some literature results are added to the "discussion" for comparison. However, due to the limited space, we cannot give a more detailed description of the added literatures, and we hope for your understanding.

Thanks again for acknowledging the work we do.

Sincerely

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