考虑连接异质性的交通相位调度
Connectivity-Aware Traffic Phase Scheduling for Heterogeneously Connected Vehicles
AI总结：
本文提出一种考虑车辆连接异质性的交通相位调度算法，以提高交叉口通行效率，通过仿真验证其优于基线方法。
摘要：
我们考虑了一个异质连接车辆的交通系统，其中并非所有车辆都能通信。交通系统的异质连接受到实际约束的影响，即（i）并非所有车辆都配备具有通信接口的设备，（ii）一些车辆可能由于隐私和安全原因而不愿通信，（iii）通信链路不完美，实践中存在数据包丢失和延迟。在此背景下，开发考虑异质性的控制算法至关重要。本文特别关注交通相位调度决策。我们为异质连接车辆开发了一种连接意识的交通相位调度算法，该算法通过考虑异质性来提高交叉口效率（以允许通过交叉口的平均车辆数为衡量标准）。仿真结果表明，我们的算法在交叉口效率方面显著优于基线方法。
英文摘要：
We consider a transportation system of heterogeneously connected vehicles, where not all vehicles are able to communicate. Heterogeneous connectivity in transportation systems is coupled to practical constraints such that (i) not all vehicles may be equipped with devices having communication interfaces, (ii) some vehicles may not prefer to communicate due to privacy and security reasons, and (iii) communication links are not perfect and packet losses and delay occur in practice. In this context, it is crucial to develop control algorithms by taking into account the heterogeneity. In this paper, we particularly focus on making traffic phase scheduling decisions. We develop a connectivity-aware traffic phase scheduling algorithm for heterogeneously connected vehicles that increases the intersection efficiency (in terms of the average number of vehicles that are allowed to pass the intersection) by taking into account the heterogeneity. The simulation results show that our algorithm significantly improves the efficiency of intersections as compared to the baselines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
