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A Qualitative Analysis of Vehicle Positioning Requirements for Connected Vehicle Applications
Planning of Truck Platoons: a Literature Review and Directions for Future Research
A truck platoon is a set of virtually linked trucks that drive closely behind one another using automated driving technology. Benefits of truck platooning include cost savings, reduced emissions, and more efficient utilization of road capacity. To fully reap these benefits in the initial phases requires careful planning of platoons based on trucks’ itineraries and time schedules. This paper provides a framework to classify various new transportation planning problems that arise in truck platooning, surveys relevant operations research models for these problems in the literature and identifies directions for future research
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems
In this paper, we introduce a hierarchical decision-making framework for
emerging mobility systems. Despite numerous studies focusing on optimizing
vehicle flow, practical feasibility has often been overlooked. To address this
gap, we present a route-recovery method and energy-optimal trajectory planning
tailored for connected and automated vehicles (CAVs) to ensure the realization
of optimal flow. Our approach identifies the optimal vehicle flow to minimize
total travel time while considering consistent mobility demands in urban
settings. We deploy a heuristic route-recovery algorithm that assigns routes to
CAVs and departure/arrival time at each road segment. Furthermore, we propose
an efficient coordination method that rapidly solves constrained optimization
problems by flexibly piecing together unconstrained energy-optimal
trajectories. The proposed method has the potential to effectively generate
optimal vehicle flow, contributing to the reduction of travel time and energy
consumption in urban areas.Comment: 17 pages, 11 figure
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
The recent progress in unmanned aerial vehicles (UAV) technology has
significantly advanced UAV-based applications for military, civil, and
commercial domains. Nevertheless, the challenges of establishing high-speed
communication links, flexible control strategies, and developing efficient
collaborative decision-making algorithms for a swarm of UAVs limit their
autonomy, robustness, and reliability. Thus, a growing focus has been witnessed
on collaborative communication to allow a swarm of UAVs to coordinate and
communicate autonomously for the cooperative completion of tasks in a short
time with improved efficiency and reliability. This work presents a
comprehensive review of collaborative communication in a multi-UAV system. We
thoroughly discuss the characteristics of intelligent UAVs and their
communication and control requirements for autonomous collaboration and
coordination. Moreover, we review various UAV collaboration tasks, summarize
the applications of UAV swarm networks for dense urban environments and present
the use case scenarios to highlight the current developments of UAV-based
applications in various domains. Finally, we identify several exciting future
research direction that needs attention for advancing the research in
collaborative UAVs
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