diff --git a/scripts/requirements.txt b/scripts/requirements.txt
deleted file mode 100644
index a717bf139..000000000
--- a/scripts/requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
-openpyxl
\ No newline at end of file
diff --git a/scripts/v2xhub_log_analysis_erv.py b/scripts/v2xhub_log_analysis_erv.py
deleted file mode 100644
index 88b9550bb..000000000
--- a/scripts/v2xhub_log_analysis_erv.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import sys
-import pandas as pd
-import xml.etree.ElementTree as ET
-import argparse
-
-'''
-Get file names
-'''
-
-
-def get_filenames():
-    inputfile = ''
-    outputfile = ''
-    parser = argparse.ArgumentParser(prog="V2xHub Analysis for ERV BSM")
-    parser.add_argument('--input', type=str, required=True)
-    parser.add_argument('--output', type=str, required=True)
-    args = parser.parse_args()
-    print(f'Received log file: {args.input}; Result will be saved into file: {args.output}.xlsx')
-    inputfile = args.input
-    outputfile = args.output
-    return (inputfile, outputfile)
-'''
-Read the input logs file and search the relevant logs. Process the logs and return a dictionary of the relevant information
-'''
-
-
-def process_input_log_file(inputfile, search_keyword):
-    file_stream = open(inputfile, 'r')
-    fields_dict = {}
-    fields_dict["Time (UTC)"] = []
-    while True:
-        line = file_stream.readline()
-        # if line is empty, end of file is reached
-        if not line:
-            break
-        if len(line.strip()) == 0:
-            continue
-        if len(line.strip().split(' - ')) < 2:
-            continue
-
-        txt = line.strip().split(' - ')[1]
-        # Look for the specific metric by keyword
-        if search_keyword.lower().strip() in txt.lower():
-            metadata_list = [x for x in line.strip().split(
-                ' - ')[0].split("[") if x != '']
-            time = ''.join(metadata_list).split(']')[0].replace('"','').replace('log','').replace('{','').replace('{}','').replace(':','',1).replace('}','')
-            fields_dict["Time (UTC)"].append(time)
-            metric_field_value = ''
-            metric_field_title = ''
-            txt_list = [x.strip() for x in  txt.strip().split(":") if x.strip() != 'INFO' if x.strip() != 'DEBUG' if x.strip() != 'ERROR' ]
-            if  "stdout" in txt_list[1]:
-                metric_field_title = txt_list[0].strip().replace("stream","").replace('\\n','').replace('"','').replace(',','')
-                metric_field_value = txt_list[0].strip().replace("stream","").replace('\\n','').replace('"','').replace(',','').replace('\\u003e','>').replace('\\u003c','<').replace('\\','"')
-            else:
-                metric_field_title = txt_list[0].strip().replace("stream","").replace('\\n','').replace('"','').replace(',','')
-                metric_field_value = txt_list[1].strip().replace("stream","").replace('\\n','').replace('"','').replace(',','').replace('\\u003e','>').replace('\\u003c','<').replace('\\','"')
-                try:
-                    xml = ET.fromstring(metric_field_value)
-                    metric_field_value = xml.find("id").text
-                except:
-                    pass
-            if metric_field_title not in fields_dict.keys():
-                fields_dict[metric_field_title] = []
-            fields_dict[metric_field_title].append(metric_field_value)
-    file_stream.close()
-    return fields_dict
-
-
-'''
-main entrypoint to read carmacloud.log file and search based on the metric keyworkds. 
-Once the relevant logs are found, it write the data into the specified excel output file.
-'''
-
-
-def main():    
-    inputfile, outputfile = get_filenames()
-    search_metric_keywords = {
-                              'FER-5-6': 'Incoming BSM is not from Emergency Response Vehicle (ERV)',
-                              'FER-9-10-11': 'Forward ERV BSM to cloud:',
-                              'FER-12-1': 'Received ERV BSM and forward ERV BSM to cloud delay (ms)',
-                              'FER-TBD-1': 'Received ERV BSM from cloud:',
-                              'FER-TBD-2': 'Received ERV BSM from cloud and broadcast ERV BSM delay(ms)'
-                             }
-    global_fields_dict = {}
-    print(f'Processing log file [{inputfile}]...')
-    for metric_keyword_key in search_metric_keywords.keys():
-        if len(inputfile) > 0 and len(outputfile) > 0:
-            fields_dict = process_input_log_file(inputfile=inputfile,
-                                                 search_keyword=search_metric_keywords[metric_keyword_key])
-            if len(fields_dict) > 0:
-                global_fields_dict[metric_keyword_key] = fields_dict
-
-    # Write dictionary into excel file
-    if len(global_fields_dict) > 0:
-        with pd.ExcelWriter(outputfile+".xlsx") as writer:
-            for metric_keyword in global_fields_dict.keys():
-                data_frame = pd.DataFrame(global_fields_dict[metric_keyword])
-                data_frame.to_excel(writer, sheet_name=metric_keyword, index=False)
-                print(f'Generated sheet for metric: {metric_keyword}')
-
-
-if __name__ == '__main__':
-    main()