A Novel Left-Turn Signal Control Method for Improving Intersection Capacity in a Connected Vehicle Environment
Round 1
Reviewer 1 Report
The paper “A Novel Left-Turn Signal Control Method for Improving Capacity of Intersection in A Connected Vehicle Environment” presents a new method for control signal of a car.
However, the scientific background and rationale for certain design decisions are argued very weak.
Figure 1 has the formating mark.
Also, the entire structure of the paper must be reformatted.
Although the addressed research area is of interest, the paper is not clear on the innovation it brings. This might be due to a poor organization and description of the developed work. Moreover, few references have been made to the existing state of the art research. The authors must state the main contribution of the paper.
Also, the simulation results are not concudent.
Author Response
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Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper under review is well written, however some improvements are needed :
- The contributions should be more clearly explained in the Introduction.
-Comparison with existing results should be discussed. How to improve the existing results?
-The literature review is somewhat incomplete on the vehicle domain. I suggest the following to give readers better overview:Observer-based robust fuzzy control for vehicle lateral dynamics. American Control Conference, Minneapolis USA, doi: 10.1109/ACC.2006.1657457. 2006; Robust H∞ output-feedback yaw control for in-wheel motor driven electric vehicles with differential steering. Neurocomputing 173, 676-684, 2016; Vehicle dynamics and road curvature estimation for lane departure warning system using robust fuzzy observers: experimental validation. Vehicle system dynamics 53 (8), 1135-1149, 2015.
- The used control strategy should be more explained. What are the main differences with classical nonlinear control such that fizzy approach? and how to include fault problems in such design? see for example: Robust fault tolerant controller design for Takagi-Sugeno systems under input saturation. International Journal of Systems Science 50 (6), 1163-1178, 2019; Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications. Automatica 93, 42–54, 2018; Speed sensor fault tolerant controller design for induction motor drive in EV. Neurocomputing 214, 32-43, 2016.
-English language should more polished and some typos corrected.
Author Response
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Author Response File: Author Response.pdf
Reviewer 3 Report
Some comments for improving quality of your paper
1. What is your special contribution? I’m sorry, but your topic is a little lack of novel idea.
2. You did just simulation for proving your algorithm. You didn’t proof your algorithm using test vehicle. So, I recommend doing vehicle-based proof test.
3. doing simulation, you must consider uncertainty such as variation of each vehicle’s speed, vehicle position uncertainty, cut-in situation etc.
Author Response
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Author Response File: Author Response.pdf
Reviewer 4 Report
The paper presents an attempt for improving the junction’s capacity based on control of flow of cars on the left-turn lane. Although the subject matter is significant and timely, there are a number of faults with the paper that need to be addressed before publication.
The paper should be proofread and English language and style have to be improved. Additionally, the text should be more concise and better organized. In this form, it is very difficult to read and understand. The authors developed their method for only one type of junction, characterised by low number of turning left drivers. I cannot agree that low number of turning left drivers is connected with rush hours. I believe that it strongly depend on communication routes which are specific for each city. What is more, the devised solution is dedicated for one direction of movement, while the opposite one has not been taken into consideration. The simulation plays important role in the presented research. Therefore, more detailed description of it should be included. The calculation of average time of a platoon passing the junction seems to be unnecessary because V2I communication is utilised. Due to the fact, that IDs of connected cars are used, the time can be calculated for known types of vehicles. The comparative analysis shows that the presented method can be only used in case of a small number of turning left drivers. Because of other methods do not use V2I communication, which is very powerful tool, the presented solution should be characterised by better performance. I cannot agree with the authors that “the probability of the case that left-turn and through vehicles appear intermittently in a long time is impossible”. I think that each situation should be taken into consideration. Consequently, the presented solution seems to be unsuitable for practical applications. The concept of left-turn waiting area and LED line, presented in order to overcome above disadvantage, should be involved into simulation study. Introducing them after results’ discussion is aimless. The author concluded that their solution “may cause trouble to the driver, and then there may be a security problem”. They believe that their method will be implemented when autonomous vehicle is used. The whole article should be modified with regard to this assumption.Author Response
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Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
After English proofreading the paper can be accepted.
Reviewer 2 Report
The revised manuscript can be accepted, but the English language needs (minor) spell check.
Reviewer 4 Report
Dear Authors,
the amended manuscript can be published in Electronics. I appreciate the hard work done by authors to improve it.
