An Accurate Solution to the Cardinality-Based Punctuality Problem

Cao, Zhiguang; Wu, Yaoxin; Rao, A. C.; Klanner, Felix; Erschen, Stefan; Wei, Chen; Zhang, Le; Guo, Hongliang

doi:10.1109/mits.2018.2880260

Cited by 15 publications

(4 citation statements)

References 27 publications

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“…In future, we will study the obstacle avoidance in navigation, where the autonomous ships can be considered as intelligent agents or vehicles. Therefore, we will investigate the routing algorithms for both independent and cooperative agents (or vehicles) in land and marine transportation [31][32][33][34][35][36][37][38], to achieve the obstacle avoidance for autonomous ships.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Processing of Situation Awareness for Autonomous Ships Navigation

Zhou¹,

Liu²,

Zhao³

et al. 2019

TransNav

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The first ever attempt at fully autonomous dock-to-dock operation has been tested and demonstrated successfully at the end of 2018. The revolutionary shift is feared to have a negative impact on the safety of navigation and the getting of real-time situation awareness. Especially, the centralized context onboard could be changed to a distributed context. In navigation safety domain, monitoring, control, assessment of dangerous situations, support of operators of decision-making support system should be implemented in real time. In the context of autonomous ships, decision-making processes will play an important role under such ocean autonomy, therefore the same technologies should consist of adequate system intelligence. At the same time, situation awareness is the key element of the decision-making processes. Although there is substantial research on situation awareness measurement techniques, they are not suitable to directly execute quantitative processing for the situation awareness of autonomous ships navigation. Hence, a novel quantitative model of situation awareness is firstly proposed based on the system safety control structure of remotely controlled vessel. The data source is greatly limited, but the main result still indicates that the probability of operator lose adequate situation awareness of the autonomous ship is significantly higher than the conventional ship. Finally, the paper provides a probabilistic theory and model for high-level abstractions of situation awareness to guide future evaluation of the navigation safety of autonomous ships.

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Section: Discussionmentioning

confidence: 99%

Quantitative Processing of Situation Awareness for Autonomous Ships Navigation

Zhou¹,

Liu²,

Zhao³

et al. 2019

TransNav

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“…The routes in the open residential area were different from those in the gated residential area. Different routes brought out variation in travel time, speed, distance and conflicts, and the variation degree could be measured by delay time ( f 1 ), traffic safety index ( f 2 ), travel speed ( f 3 ) and trip distance ( f 4 ) [34,35]. Then, the four types of residential area layout were considered with four traffic impact indexes according to local conditions, and the dual hesitant fuzzy information of the four layout types under each index were obtained using the expert evaluation method, which was as follows.…”

Section: Examplementioning

confidence: 99%

Novel Parameterized Utility Function on Dual Hesitant Fuzzy Rough Sets and Its Application in Pattern Recognition

Zhang

et al. 2019

Information

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Based on comparative studies on correlation coefficient theory and utility theory, a series of rules that utility functions on dual hesitant fuzzy rough sets (DHFRSs) should satisfy, and a kind of novel utility function on DHFRSs are proposed. The characteristic of the introduced utility function is a parameter, which is determined by decision-makers according to their experiences. By using the proposed utility function on DHFRSs, a novel dual hesitant fuzzy rough pattern recognition method is also proposed. Furthermore, this study also points out that the classical dual tool is suitable to cope with dynamic data in exploratory data analysis situations, while the newly proposed one is suitable to cope with static data in confirmatory data analysis situations. Finally, a medical diagnosis and a traffic engineering example are introduced to reveal the effectiveness of the newly proposed utility functions on DHFRSs.

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“…that occur on the roads [29]. For this reason, there are specific studies that examine TSP in the context of transport in cities, such as [30][31][32][33][34]. These variants of the algorithm are characterized by using probability calculations, exploiting previous knowledge of the domain (normal durations of routes, typical characteristics of traffic on a highway, etc.)…”

Section: Introductionmentioning

confidence: 99%

The Use of Geolocation to Manage Passenger Mobility between Airports and Cities

Cabezuelo

2020

Computers

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A general problem in large cities is mobility. Every day, there are incidents (accidents, construction, or meteorological events) that increase the duration of the journeys in a city and exert negative effects on the lives of citizens. A particular case of this situation is communications with airports. Shuttles are a type of private transport service that operates in airports. The number of passengers carried by shuttles is small. Moreover, shuttles transport passengers to their final destinations and their prices are more competitive than those other private services. However, shuttle services have a limitation with respect to their routes due to the many different destinations of passengers. For this reason, it is important to be able to calculate the best route to optimize the journey. This work presents an Android application that implements a value-added service to plan the route of a shuttle and manage its service (passengers, journeys, routes, etc.). This application combines information from different sources, such as geolocation information from the shuttle driver’s mobile phone, information on the passengers, and results obtained from the service offered by MapBox to calculate the optimized route between several destinations.

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An Accurate Solution to the Cardinality-Based Punctuality Problem

Cited by 15 publications

References 27 publications

Quantitative Processing of Situation Awareness for Autonomous Ships Navigation

Quantitative Processing of Situation Awareness for Autonomous Ships Navigation

Novel Parameterized Utility Function on Dual Hesitant Fuzzy Rough Sets and Its Application in Pattern Recognition

The Use of Geolocation to Manage Passenger Mobility between Airports and Cities

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