Towards Fair Roads–Manifesto for Fair Traffic Engineering

Engineering notes

Key topics: autonomous driving, planning, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Traffic engineering aims to control infrastructure and population behaviour to achieve optimal usage of road networks. Fairness is fundamental to stimulate cooperation in large populations, and plays an important role in traffic engineering, as it increases the well-being of users, improves driving safety by rule adherence, and overcomes public resistance at legislative implementation. Despite the importance of fairness, only a few works have translated fairness into the transportation domain, with a focus on transportation planning rather than traffic engineering. Moreover, existing works in traffic engineering discuss fairness superficially and insufficiently, focussing on only a few definitions. The mission of this work is (i) to challenge narrowly specified, efficiency-oriented engineering formulations in traffic engineering, (ii) to establish a link to modern fairness theories, and (iii) to highlight the importance of fairness when allocating scarce, public good, mobility resources between road users. To achieve this, a mode-agnostic, distributive fairness framework for mobility resource allocation is proposed. It serves when designing traffic engineering solutions, and convinces in public debates with a useful, argumentative tool-set to confront equity considerations. Ultimately, this enables systematic research and design of fairness-informed control systems, demonstrated by three case studies on signalized intersection management and static road pricing.

Links and sources

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