2017
DOI: 10.1049/iet-its.2016.0288
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Finding the ‘faster’ path in vehicle routing

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Cited by 9 publications
(7 citation statements)
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“…Driving style space should be analyzed before driver style clustering to ensure the rationality and reliability of the results of the LFCM. A driver can choose from a wide selection of varied details, generally, including time-saving [1][2][3], economic [26,27] and comfort [4,9]. For ease of discussion, we record the set of three indicators above as a style space.…”
Section: Establishment Of Driving Style Spacementioning
confidence: 99%
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“…Driving style space should be analyzed before driver style clustering to ensure the rationality and reliability of the results of the LFCM. A driver can choose from a wide selection of varied details, generally, including time-saving [1][2][3], economic [26,27] and comfort [4,9]. For ease of discussion, we record the set of three indicators above as a style space.…”
Section: Establishment Of Driving Style Spacementioning
confidence: 99%
“…Mature navigation systems and path planning algorithms mainly focus on the fastest path [1][2][3][4], the shortest path [5][6][7][8] or the most comfortable path [4,9] between specified starting and target points. In recent years, path optimization algorithms of multi-objective optimization [10][11][12][13][14] and single-objective optimization [15,16], as well as a few traffic impact factors, have deepened [17,18] and popular routes planning [19,20].…”
Section: Introductionmentioning
confidence: 99%
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“…Zhao et al propose an offensive strategy based on a virtual tangent circle for robotic fish competition [7]; Gao et al propose a method for path planning of robotic fish balls based on fuzzy logic and geometry [8]; Xie et al propose fuzzy control based steering control algorithm [9]. Guo et al propose several path finding and path planning methods for smart agents, which consider the criterion of 'faster' or 'arriving on tome' in the route optimization [10][11][12][13][14]. In terms of robustness research, ke haokang also proposed the corresponding stability path planning strategy [15].…”
Section: Introductionmentioning
confidence: 99%