Added updates to the scripts and new scripts to generate performance …

…metrics. #9

emme_configuration.py

@@ -70,7 +70,7 @@
 coord_unit_length = 0.0001894    # network links measured in feet, converted to miles (1/5280)
 main_log_file = 'seacast_log.txt'
 
-link_extra_attributes = ['@facilitytype', '@countyid', '@countid', '@corridorid', '@is_managed','@bkfac','@upslp', '@toll1', '@toll2', '@toll3', '@trkc1', '@trkc2', '@trkc3', '@fgts', '@ttf', '@subarea_flag'] 
+link_extra_attributes = ['@facilitytype', '@countyid', '@countid', '@corridorid', '@is_managed','@bkfac','@upslp', '@toll1', '@toll2', '@toll3', '@trkc1', '@trkc2', '@trkc3', '@fgts', '@ttf', '@subarea_flag', '@concurrency', '@truck_route'] 
 node_extra_attributes = ['@lr_walk','@hdwfr','@wait','@invt']
 transit_line_extra_attributes = ['@transittype']
 

scripts/summarize/standard/network_summary.py

@@ -276,7 +276,13 @@ def summarize_network(df, writer):
         _df.to_excel(writer, sheet_name=metric+' by FC')
         _df.to_csv(r'outputs/network/' + metric.lower() +'_facility.csv', index=False)
 
-    # Totals by user classification
+    # Totals by functional classification and subarea
+    for metric in ['VMT','VHT','delay']:
+        _df = pd.pivot_table(df, values=metric, index=['tod','period', '@subarea_flag', '@concurrency', '@truck_route'],columns='facility_type', aggfunc='sum').reset_index()
+        _df = sort_df(df=_df, sort_list=tods , sort_column='tod')
+        _df = _df.reset_index(drop=True)
+        _df.to_excel(writer, sheet_name=metric+' by FC Subarea')
+        _df.to_csv(r'outputs/network/' + metric.lower() +'_subarea_facility.csv', index=False)
 
     # Update uc_list based on inclusion of TNC and AVs
     new_uc_list = []