Optimize delivery routes and schedules for [CompanyName] in [Region] to minimize emissions while meeting [ServiceLevelTarget] and [TimeWindowPolicy]. Incorporate vehicle energy models ([FuelOrEnergyType]), load mass effects, and regenerative/idle penalties. Price carbon at [CarbonPricePerTonne] and report both absolute CO₂e and intensity per drop. Allow soft constraint violations with penalties to avoid infeasible plans.
Output strictly as:
“Green Routes” table: route_id, vehicle_id, energy_kWh_or_l, co2_kg, km, stops, on_time_pct.
“Abatement Curve” table: measure (speed_capping, consolidation, zone_locking), abatement_tonnes, cost_per_tonne, feasibility_notes.
“Plan Summary” paragraph quantifying trade-offs between cost, time, and emissions against [EmissionsTarget].
Document modeling assumptions (e.g., grid intensity [GridIntensityFactor] if EVs).