关于dataset和utils.py

[Zhangxx1218]

I used the NGSIM dataset provided by the author for training, but unfortunately encountered the following error. Additionally, the shape of the adjacency matrix is [41,41], which differs from the author's setting of 39. This seems to be a problem caused by the dataset. And, when I trained with the raw dataset provided by CS-LSTM, I could generate checkpoints. However, during validation, due to the lack of the correct format for datasets like "keep" and "merge", I only used the original test set provided by CS-LSTM for overall testing. The experimental results are as follows, unable to reproduce the results of the original paper. Could the author provide some clarification on this?

[yyn010419]

@Zhangxx1218 hello, have you solve this problem(41 39)? I have met the same problem with u

[Zhangxx1218]

@Zhangxx1218你好，这个问题你解决了吗（41 39）？我遇到了和你同样的问题

No.But I find another dataset that processed by NGSIM,it can train successfully!

[yyn010419]

@Zhangxx1218 Could you please share it with me ? thanks a lot!!! If could, my email is yyn010419@126.com thanks again!

[ontoon]

@Zhangxx1218

Could you share it with me too?I met the same problem.thank you from the bottom of my heart.my email is 1574529553@qq.com.thanks.

[guoyage]

I used the NGSIM dataset provided by the author for training, but unfortunately encountered the following error. Additionally, the shape of the adjacency matrix is [41,41], which differs from the author's setting of 39. This seems to be a problem caused by the dataset. And, when I trained with the raw dataset provided by CS-LSTM, I could generate checkpoints. However, during validation, due to the lack of the correct format for datasets like "keep" and "merge", I only used the original test set provided by CS-LSTM for overall testing. The experimental results are as follows, unable to reproduce the results of the original paper. Could the author provide some clarification on this?

Have you reproduced the results of the NGSIM data set in the paper? The error of my own training model on the test set is slightly larger than the results shown in the author's paper.

[yyn010419]

@guoyage could you share your dataset with me ?thank you a lot!

[Zhangxx1218]

I used the NGSIM dataset provided by the author for training, but unfortunately encountered the following error. Additionally, the shape of the adjacency matrix is [41,41], which differs from the author's setting of 39. This seems to be a problem caused by the dataset. And, when I trained with the raw dataset provided by CS-LSTM, I could generate checkpoints. However, during validation, due to the lack of the correct format for datasets like "keep" and "merge", I only used the original test set provided by CS-LSTM for overall testing. The experimental results are as follows, unable to reproduce the results of the original paper. Could the author provide some clarification on this?

Have you reproduced the results of the NGSIM data set in the paper? The error of my own training model on the test set is slightly larger than the results shown in the author's paper.

Me too.The RMSE that I trained is larger than what the paper writed.

[guoyage]

I used the NGSIM dataset provided by the author for training, but unfortunately encountered the following error. Additionally, the shape of the adjacency matrix is [41,41], which differs from the author's setting of 39. This seems to be a problem caused by the dataset. And, when I trained with the raw dataset provided by CS-LSTM, I could generate checkpoints. However, during validation, due to the lack of the correct format for datasets like "keep" and "merge", I only used the original test set provided by CS-LSTM for overall testing. The experimental results are as follows, unable to reproduce the results of the original paper. Could the author provide some clarification on this?

Have you reproduced the results of the NGSIM data set in the paper? The error of my own training model on the test set is slightly larger than the results shown in the author's paper.

Me too.The RMSE that I trained is larger than what the paper writed.

This is my QQ1373976150. You can add contact information to communicate.

[caoxu0109]

@Zhangxx1218 Could you share it with me too?I met the same problem.thank you from the bottom of my heart.my email is 2837128824@qq.com.thanks.

[Petrichor625]

Dear all, Thanks for your interest in our work!

We conducted this research on a separate server, and the code uploaded is from an early version. The version provided here doesn't match the dataset used in our latest work. Unfortunately, we can't provide the latest version of the code immediately. Your patience is appreciated as we work to update with the latest code and dataset. Thank you again for your patience and understanding.

[Alexsupreme5]

@Zhangxx1218 Could you share it with me too? I met the same problem. thank you from the bottom of my heart. my email is 75467991@.com. thanks again!