New unified model optimizes hybrid eco-driving in complex urban traffic
Simultaneously plans speed, lane changes, intersections, and powertrain for better efficiency
This paper develops an integrated eco-driving planning framework for hybrid vehicles that jointly optimizes longitudinal motion, lane occupancy and changes, car-following and lane-change safety, signalized and unsignalized intersection behavior, and hybrid powertrain operation within a unified mixed-integer formulation. The model accounts for lane availability, lane-dependent speed limits, mandatory and emergency lane changes, traffic signals, regenerative braking, and battery state of charge. Simulation studies compare the proposed method with rule-following,
- Jointly optimizes longitudinal motion, lane occupancy/changes, intersection behavior, and hybrid powertrain in a single mixed-integer formulation
- Includes detailed constraints: lane speed limits, car-following safety, signalized/unsignalized intersections, stop-and-yield rules, battery state of charge, and regenerative braking
- Outperforms four baseline methods (rule-following, signal-aware, overtaking-enabled, kinematic-only) in energy efficiency while maintaining safety and comfort
Why It Matters
This unified framework could reduce urban fuel consumption and emissions in hybrid fleets, advancing smarter and safer autonomous driving.