Honghao Gao1, 2, 5, Wanqiu Huang1, 4, Xiaoxian Yang3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 547-559, 2019, DOI:10.31209/2019.100000110
Abstract Path planning is an important topic of research in modern intelligent traffic
systems (ITSs). Traditional path planning methods aim to identify the shortest
path and recommend this path to the user. However, the shortest path is not
always optimal, especially in emergency rescue scenarios. Thus, complex and
changeable factors, such as traffic congestion, road construction and traffic
accidents, should be considered when planning paths. To address this
consideration, the maximum passing probability of a road is considered the
optimal condition for path recommendation. In this paper, the traffic network is
abstracted as a directed graph. Probabilistic data on traffic flow… More >
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