asdf

Author: Isaac Peterson

matsimAI/notebooks/analysis_different_clusters.ipynb

@@ -16,16 +16,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "51246194",
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_10 = SummaryReader(\"/home/isaacp/repos/EvMatsim/contribs/ev/evsim/gradient_flow_matching/utah_flow_results/0423153613_nclusters_10_utahnetwork/logs\").scalars\n",
-    "df_50 = SummaryReader(\"/home/isaacp/repos/EvMatsim/contribs/ev/evsim/gradient_flow_matching/utah_flow_results/0423154624_nclusters_50_utahnetwork/logs\").scalars\n",
-    "df_100 = SummaryReader(\"/home/isaacp/repos/EvMatsim/contribs/ev/evsim/gradient_flow_matching/utah_flow_results/0423155704_nclusters_100_utahnetwork/logs\").scalars\n",
-    "df_200 = SummaryReader(\"/home/isaacp/repos/EvMatsim/contribs/ev/evsim/gradient_flow_matching/utah_flow_results/0423161247_nclusters_200_utahnetwork/logs\").scalars\n",
-    "df_500 = SummaryReader(\"/home/isaacp/repos/EvMatsim/contribs/ev/evsim/gradient_flow_matching/utah_flow_results/0425144015_nclusters_500_utahnetwork/logs\").scalars"
+    "df_10 = SummaryReader(\"../../cluster_results/results/0428162326_nclusters_10_utahnetwork/logs\").scalars\n",
+    "df_10 = SummaryReader(\"../../cluster_results/results/0428162326_nclusters_10_utahnetwork/logs\").scalars\n",
+    "df_10 = SummaryReader(\"../../cluster_results/results/0428162326_nclusters_10_utahnetwork/logs\").scalars\n",
+    "df_10 = SummaryReader(\"../../cluster_results/results/0428162326_nclusters_10_utahnetwork/logs\").scalars\n",
+    "df_10 = SummaryReader(\"../../cluster_results/results/0428162326_nclusters_10_utahnetwork/logs\").scalars"
    ]
   },
   {

matsimAI/run_gradient_flow_matching.py

@@ -30,6 +30,8 @@ def main(args):
         for sensor_idx in dataset.sensor_idxs:
             f.write(f"{dataset.edge_mapping.inv[sensor_idx]},")
 
+    sensor_idxs = dataset.sensor_idxs
+    
     with open(Path(save_path, "args.txt"), "w") as f:
         for key, val in args.__dict__.items():
             f.write(f"{key}:{val}\n")
@@ -47,7 +49,6 @@ def main(args):
 
     optimizer = torch.optim.Adam(parameters, lr=0.001)
     pbar = tqdm(range(args.training_steps))
-    sensor_idxs = dataset.sensor_idxs
     target_size = TARGET[sensor_idxs].numel()
 
     best_loss = torch.inf

matsimAI/scripts/analysis.py

@@ -37,7 +37,7 @@ def plot_tensor_flows(dataset, predicted_flows, target_flows, link_idx, title, s
 
     plt.figure(figsize=(12, 6))
     plt.bar(hours, pred_link_flows, width=bar_width, color="blue", label="Predicted flows")
-    plt.bar(hours + bar_width, target_link_flows, width=bar_width, color="red", label="Target flows")
+    plt.bar(hours + bar_width, target_link_flows, width=bar_width, color="red", label="Count Volumes")
     plt.xlabel("Hour")
     plt.ylabel("Flows")
     plt.title(title + "\nLink Id: " + str(link_id))

scripts/run_optimizer_and_matsim.sh

@@ -49,4 +49,16 @@ cd ..
 # "--save_interval" "-1" \
 # "--best_plans_save_path" "./scenarios/cluster_scenarios/utah_200c"
 
-mvn exec:java -Dexec.mainClass="org.matsim.run.RunMatsim" -Dexec.args="./scenarios/cluster_scenarios/utah_200c/utahconfig.xml"
+# mvn exec:java -Dexec.mainClass="org.matsim.run.RunMatsim" -Dexec.args="./scenarios/cluster_scenarios/utah_200c/utahconfig.xml"
+
+python3 -m matsimAI.run_gradient_flow_matching \
+"./cluster_results/results" \
+"./scenarios/cluster_scenarios/utah_500c/utahnetwork.xml" \
+"./scenarios/cluster_scenarios/utah_500c/utahcounts.xml" \
+"--num_clusters" "500" \
+"--training_steps" "1_000_000" \
+"--log_interval" "1_000" \
+"--save_interval" "-1" \
+"--best_plans_save_path" "./scenarios/cluster_scenarios/utah_500c"
+
+mvn exec:java -Dexec.mainClass="org.matsim.run.RunMatsim" -Dexec.args="./scenarios/cluster_scenarios/utah_500c/utahconfig.xml"