diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 0affa679..a82778d4 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -1701,7 +1701,9 @@ def add_ice_cars(n, nodes, p_set, ice_share, temperature):
     suffix = " land transport ICE"
 
     p_nom = ice_share * p_set.div(efficiency).max()
-
+    
+    profile = p_set.div(efficiency) / p_set.div(efficiency).max()
+    
     n.madd(
         "Link",
         nodes,
@@ -1714,6 +1716,8 @@ def add_ice_cars(n, nodes, p_set, ice_share, temperature):
         efficiency2=costs.at["oil", "CO2 intensity"],
         p_nom_extendable=False,
         p_nom=p_nom,
+        p_min_pu=profile,
+        p_max_pu=profile,
         lifetime=1,
     )
 
@@ -3686,6 +3690,30 @@ def lossy_bidirectional_links(n, carrier, efficiencies={}):
         )
 
 
+
+def adjust_transport_temporal_agg(n):
+    
+    engine_types = {"fuel_cell":'land transport fuel cell',
+                    "electric": 'land transport EV',
+                    "ice": 'land transport oil'}
+    
+    p_set = n.loads_t.p_set.loc[:, n.loads.carrier=="land transport demand"]
+    
+    for engine, carrier in engine_types.items():
+        share = get(options[f"land_transport_{engine}_share"], investment_year)
+        
+        if share==0: continue
+        links_i = n.links[n.links.carrier==carrier].index
+        efficiency = n.links_t.efficiency.loc[:, links_i]
+        p_set.columns = efficiency.columns
+        p_nom = share * p_set.div(efficiency).max()
+        profile = p_set.div(efficiency) / p_set.div(efficiency).max()
+        
+        n.links.loc[links_i, "p_nom"] = p_nom
+        n.links_t.p_max_pu[links_i] = profile
+        n.links_t.p_min_pu[links_i] = profile
+   
+    
 # %%
 if __name__ == "__main__":
     if "snakemake" not in globals():
@@ -3699,7 +3727,7 @@ if __name__ == "__main__":
             clusters="37",
             ll="v1.0",
             sector_opts="730H-T-H-B-I-A-dist1",
-            planning_horizons="2030",
+            planning_horizons="2050",
         )
 
     configure_logging(snakemake)
@@ -3784,6 +3812,8 @@ if __name__ == "__main__":
     solver_name = snakemake.config["solving"]["solver"]["name"]
     resolution = snakemake.params.time_resolution
     n = set_temporal_aggregation(n, resolution, solver_name)
+    
+    adjust_transport_temporal_agg(n)
 
     co2_budget = snakemake.params.co2_budget
     if isinstance(co2_budget, str) and co2_budget.startswith("cb"):