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Intelligent route planning system based on interval computing

机译:基于区间计算的智能路径规划系统

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摘要

We investigate the problem of vehicle route planning in a dynamic environment. In order to better reflect real-life situations, we assume that travel times are not known exactly, but bounded from below and from above, i.e., they are given as interval quantities. Accordingly, we develop algorithms for effective route replanning in a highly dynamic road network environment that combines traffic image processing with interval data for dynamic path optimisation. The developed algorithms are integrated into a larger system for traffic management. The efficiency of the proposed algorithms and their ability to support the dynamics of road traffic is verified using real data. The experimental research was also conducted using the microscopic, time-discrete, space-continuous traffic simulator.
机译:我们研究动态环境中的车辆路线规划问题。为了更好地反映现实生活中的情况,我们假设旅行时间未知,但从下方和上方限定,即以间隔量给出。因此,我们开发了在高度动态的道路网络环境中进行有效路线重新规划的算法,该算法将交通图像处理与间隔数据相结合以实现动态路径优化。所开发的算法已集成到用于流量管理的更大系统中。使用实际数据验证了所提出算法的效率及其支持道路交通动态的能力。还使用微观的,时间离散的,空间连续的交通模拟器进行了实验研究。

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