PRIN 2022 招标公告。2022年2月2日第104号决定
项目名称：I CAN BE - 考虑用户行为的协同与自动化车辆对交通网络影响评估
CODICE CUP: F53D23001990006
预算： € 66.600
PoliBA 研究单位负责人： Mario Marinelli
其他研究单位：
那不勒斯大学（PI: Luigi Pariota）
萨莱诺大学（Resp. UR: Roberta Di Pace）
项目简要说明
I CAN BE 项目分析并建模了在协同与自动化驾驶技术（CAV）存在条件下的用户行为，开发了能够明确考虑驾驶员和乘客反应的交通控制策略。该方法结合了离散与聚合仿真方法，用于评估 CAV 技术对真实交通网络的影响，并考虑了不同的技术渗透率情景以及车辆与基础设施之间不同程度的协同。
目的
其主要目标是提供一个方法论与操作框架，用于评估 CAV 技术的影响，并考虑用户的真实行为，以支持交通管理策略的开发，尽量减少对网络的不利影响，并为协同与自动化车辆的可持续推广制定指导方针。
预期成果
构建一个用于在 CAV 存在条件下进行交通仿真与优化的集成框架。
在混合场景中对驾驶行为和出行选择进行真实建模。
评估协同策略（如 GLOSA、VSL、辅助并线）在降低拥堵、排放和风险方面的有效性。
支持公共决策者在采用 CAV 技术过程中制定相关工具。
已取得的成果
POLIBA unit contributed to the development of an advanced simulation environment for real-time traffic management, called the virtual Traffic Management Center (vTMC), capable of representing in an integrated way the interaction between cooperative automated vehicles, intelligent infrastructure, and human-driven vehicles. This framework made it possible to simulate realistic mixed-traffic scenarios, highlighting the impact of different cooperative control strategies. In particular, POLIBA analyzed the effectiveness of interventions such as dynamic lane reduction (lane drop), cooperative speed regulation (VSL), merging assistance, and traffic signal phase management. Through simulations conducted with microscopic traffic models, it was demonstrated how increasing CAV penetration reduces congestion, emissions, and conflict risks in a non-linear manner, and how infrastructure strategies must be adaptive during technological transition phases. In detail, a simulation and optimization model for merging on motorway ramps (e.g., Tangenziale di Napoli) under infrastructure constraints was developed, highlighting the synergy between infrastructure control strategies and cooperative behaviors enabled by CAV. The unit also integrated an optimization approach based on robust indicators (e.g., cumulative average delay) to balance performance between main flows and entering vehicles, improving fairness and efficiency. Finally, it made a substantial contribution to the integration of models and results into a common multi-scale framework shared with the other project units, laying the groundwork for the development of guidelines applicable at the national level.
