COR-MP: Conservation of Resources Model for Maneuver Planning

TL;DR

COR-MP introduces a novel decision-making framework for automated driving that balances safety, comfort, and energy efficiency using a psychological resource conservation model, validated through simulations and real-world tests.

Contribution

This paper presents COR-MP, a new maneuver planning model based on resource conservation theory, integrating multiple driving parameters for improved decision-making.

Findings

Validated through closed-loop simulations

Preliminary real-vehicle testing successful

Balances safety, comfort, and energy in decision-making

Abstract

Decision-making for automated driving remains a challenging task. For their integration into real platforms, these algorithms must guarantee passenger safety and comfort while ensuring interpretability and an appropriate computational time. To model and solve this decision-making problem, we have developed a novel approach called COR-MP (Conservation of Resources model for Maneuver Planning). This model is based on the Conservation of Resources theory, a psychological concept applied to human behavior. COR-MP is based on various driving parameters, such as comfort, safety, or energy, and provides in real-time a profit value that enables us to quantify the impact of a decision on the decision-maker. Our method has been tested and validated through closed-loop simulations using RTMaps middleware, and preliminary results have been obtained by testing COR-MP on a real vehicle.