Coordinated route optimization for heavy-duty vehicle platoons
Coordinated route optimization for heavy-duty vehicle platoons
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DOI：
10.1109/itsc.2013.6728395
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发表时间：
2013-10
期刊：
影响因子：
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通讯作者：
Jeffrey Larson;Christoph Kammer;Kuo-Yun Liang;K. Johansson
中科院分区：
文献类型：
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作者：
Jeffrey Larson;Christoph Kammer;Kuo-Yun Liang;K. Johansson
列队行驶的重型车辆燃油消耗率降低。在本文中，我们试图通过在整个道路网络中引入局部控制器，以最少的信息促进车辆列队，从而使这种效益最大化。通过了解车辆的位置、速度和目的地，局部控制器可以迅速决定在不久的将来应如何可能调整其速度以便与其他车辆列队。我们精确地解决了少量车辆的这种最优控制和路径规划问题，并提出了一种可实时使用的快速启发式算法。然后，我们通过对包含数千辆车的德国高速公路网络进行大规模模拟来实现这样一个分布式控制系统。模拟显示燃油节省量为1% - 9%，当只有几千辆车参与该系统时，节省量超过5%。在本文的大部分内容中，我们假设大多数车辆的行驶时间不会超过其最短路径所需的时间。最后，我们通过分析放宽这一假设如何能够进一步减少燃油使用来总结结果。
Heavy-duty vehicles traveling in platoons consume fuel at a reduced rate. In this paper, we attempt to maximize this benefit by introducing local controllers throughout a road network to facilitate platoon formations with minimal information. By knowing a vehicle's position, speed, and destination, the local controller can quickly decide how its speed should be possibly adjusted to platoon with others in the near future. We solve this optimal control and routing problem exactly for small numbers of vehicles, and present a fast heuristic algorithm for real-time use. We then implement such a distributed control system through a large-scale simulation of the German autobahn road network containing thousands of vehicles. The simulation shows fuel savings from 1-9%, with savings exceeding 5% when only a few thousand vehicles participate in the system. We assume no vehicles will travel more than the time required for their shortest paths for the majority of the paper. We conclude the results by analyzing how a relaxation of this assumption can further reduce fuel use.