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Application of hyperpath strategy and driving experience to risk-averse navigation

IET INTELLIGENT TRANSPORT SYSTEMS 2016年第5期10卷 338-346页

作者： Zeng, Weiliang Miwa, Tomio Morikawa, Takayuki Nagoya Univ Dept Civil Engn Furo Cho Nagoya Aichi Japan Nagoya Univ EcoTopia Sci Inst Furo Cho Nagoya Aichi Japan Nagoya Univ Inst Innovat Future Soc Furo Cho Nagoya Aichi Japan

This study aims to find an experientially reliable path considering travel time uncertainty and driving experience of local probe vehicle drivers. Accordingly, a two-stage route-finding procedure is proposed. First, a set of candidate paths is built by using the hyperpath algorithm, where the choice probability is assigned to each link with uncertain travel time. Second, the shortest path algorithm is applied to find the experientially reliable path on the graph of hyperpath where the modified link cost is penalised based on the link choice probability derived from hyperpath algorithm and the driving experience of local drivers. Four kinds of optimal path in a real-world network are compared with the observed one. It is found that the proposed path has the most similarity with the observed path and it has a higher degree of familiarity and reasonable time and distance.

关键词： vehicle routing navigation probability network theory (graphs) driving experience risk-averse navigation travel time uncertainty local probe vehicle drivers two-stage route-finding procedure shortest path algorithm penalised modified link cost link choice probability hyperpath algorithm real-world network

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A new path plan method based on hybrid algorithm of reinforcement learning and particle swarm optimization

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ENGINEERING COMPUTATIONS 2022年第3期39卷 993-1019页

作者： Liu, Xiaohuan Zhang, Degan Zhang, Ting Zhang, Jie Wang, Jiaxu Tianjin Univ Technol Tianjin 300384 Peoples R China Tianjin Univ Technol Key Lab Comp Vis & Syst Minist Educ Tianjin Key Lab Intelligent Comp & Novel Software Tianjin 300384 Peoples R China

Purpose To solve the path planning problem of the intelligent driving vehicular, this paper designs a hybrid path planning algorithm based on optimized reinforcement learning (RL) and improved particle swarm optimization (PSO). Design/methodology/approach First, the authors optimized the hyper-parameters of RL to make it converge quickly and learn more efficiently. Then the authors designed a pre-set operation for PSO to reduce the calculation of invalid particles. Finally, the authors proposed a correction variable that can be obtained from the cumulative reward of RL;this revises the fitness of the individual optimal particle and global optimal position of PSO to achieve an efficient path planning result. The authors also designed a selection parameter system to help to select the optimal path. Findings Simulation analysis and experimental test results proved that the proposed algorithm has advantages in terms of practicability and efficiency. This research also foreshadows the research prospects of RL in path planning, which is also the authors' next research direction. Originality/value The authors designed a pre-set operation to reduce the participation of invalid particles in the calculation in PSO. And then, the authors designed a method to optimize hyper-parameters to improve learning efficiency of RL. And then they used RL trained PSO to plan path. The authors also proposed an optimal path evaluation system. This research also foreshadows the research prospects of RL in path planning, which is also the authors' next research direction.

关键词： Reinforcement learning path planning Intelligent driving shortest path algorithm

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Application of the fastest route algorithm in the interactive simulation of the effect of local ischemia on the ECG

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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2009年第1期47卷 11-20页

作者： van Dam, Peter M. Oostendorp, Thom F. van Oosterom, Adriaan Medtron SQDM Res NL-6825 MJ Arnhem Netherlands Radboud Univ Nijmegen Med Ctr Dept Cognit Neurosci NL-6525 EZ Nijmegen Netherlands CHU Vaudois Dept Cardiol EPFL STI ITS LTS1 CH-1015 Lausanne Switzerland

A method is described to determine the effect on the ECG of a reduced propagation velocity within an ischemic zone. The method was designed to change the activation sequence throughout the ventricles interactively, i.e. with a response time in the order of a second. The timing of ventricular ischemic activation was computed by using the fastest route algorithm, based on locally reduced values of the propagation velocities derived from a standard, normal activation sequence. The effect of these local reductions of the velocities on the total activation sequence, as well as the changes in the electrocardiogram that these produce, are presented.

关键词： shortest path algorithm Isochrones of depolarization wave Ischemia Heart ECG ECGSIM

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Finding the mitral annular lines from 2-D+1-D precordial echocardiogram using graph-search technique

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IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 2004年第1期8卷 1-4页

作者： Ching, YT Chen, SJ Chang, CL Lin, CY Liu, YH Natl Chiao Tung Univ Dept Comp & Informat Sci Hsinchu 30050 Taiwan Natl Taiwan Univ Coll Med & Hosp Dept Med Imaging & Gen Examinat Taipei 10764 Taiwan

The apical four-chamber view echocardiogram collected by a transthoracic transducer can be used to evaluate the left ventricle volume. In the diastole, the left ventricle and left atrium become one chamber. In this case, the left ventricle and left atrium need to be separated using a "mitral annular line" so the volume of the left ventricle can be estimated. In this paper, a nearly automatic method for identifying the mitral annular lines from two-dimensional (2-D) + one-dimensional (1-D) precordial four-chamber view echocardiogram is presented. This method employs the optical flow technique and graph-search approach. The mitral annular line sequence is found by finding the shortest path in a weighted directed graph. The vertices in the graph are candidates for the mitral annular lines. The weights on the directed edges are determined using the optical flow technique. The proposed method requires only a physician to provide, a point that is always in the left ventricular chamber. Experimental results show that the average error for the left ventricle volume obtained based on the computed mitral annular lines is 3%.

关键词： echocardiogram left ventricle mitral annular line optical flow shortest path algorithm signal-adaptive maximum-likelihood (SML) filter

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Lightpath versus semi-lightpath: Some studies on optimal routing in WDM optical networks

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PHOTONIC NETWORK COMMUNICATIONS 2000年第2期2卷 155-161页

作者： Saha, D Jadavpur Univ Dept Comp Sci & Engn Calcutta 700032 W Bengal India

This paper deals with the problem of optimal dynamic routing in WDM optical networks with wavelength-changing facilities available at some of the nodes. The route may be either a lightpath (i.e., wavelength continuous channel) or a semi-lightpath (i.e., wavelength-converted channel). We attempt to estimate in this work the gain in blocking probability, when we move from lightpath routing to semi-lightpath routing, keeping the number of wavelengths fixed, in a given circuit switched network. We ensure optimal (minimum cost) routing in both the cases by using the algorithm of Banerjee et al. [7,8] (called algorithm-I in this paper) for lightpaths and that of Chlamtac et al. [6] (called algorithm-II) for semi-lightpaths. Our results indicate that, for both the algorithms, the blocking probability (P-B), as expected, increases with network load. At light load, P-B for algorithm-I is always larger than that for algorithm-II. But the rate of increase in P-B is slightly higher in case of algorithm-II, so that there is a crossover point where P-B for algorithm-II exceeds P-B for algorithm-I. This probably happens due to the irregularities in the semi-lightpaths at heavy loads when almost all routes are exhausted in the network. However, since this crossover phenomenon occurs at a very congested status of the network, it has little significance over the real life operation of a network. It only suffices to indicate that, under heavy load, both the algorithms are equally insufficient, and conversion does not improve the situation as might have been expected intuitively.

关键词： WDM optical networking routing wavelength assignment lightpath semi-lightpath shortest path algorithm blocking probability

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Metabolic reconstruction using shortest paths

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SIMULATION PRACTICE AND THEORY 2000年第1-2期8卷 109-125页

作者： Arita, M Electrotech Lab Tsukuba Ibaraki 3058568 Japan

This paper introduces a graph-oriented representation of metabolism, and shows how to apply the shortest path algorithm to reconstruct metabolic pathways. Our metabolic model is constructed from molecular structures of compounds and reaction formulas of enzymes, and its output is all the logically possible pathways consisting of input reactions. We also show how to integrate putative reactions in the model. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： metabolism graph-oriented approach shortest path algorithm knowledge representation

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Autonomous real time route guidance in inter-vehicular communication urban networks

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VEHICULAR COMMUNICATIONS 2015年第1期2卷 36-46页

作者： Hawas, Yaser E. El-Sayed, Hesham United Arab Emirates Univ Civil & Environm Engn Coll Engn Al Ain U Arab Emirates United Arab Emirates Univ Coll Informat Technol Al Ain U Arab Emirates

This paper presents an inter-vehicular communication IVC)-based algorithm for real-time route guidance in urban traffic networks. The algorithm enables communication between searcher vehicle and candidate-vehicles whose origin node matches the destination node of the searcher vehicle, and traveling in the opposite direction. The data entities of knowledge sharing among the vehicles and the algorithmic procedure as well as the conditions for information sharing are presented in detail. The mathematical formulation of the procedure is also presented. A microscopic simulation model is utilized to assess the effectiveness of the algorithm against the benchmark shortest path algorithm. Average travel time, and overall network productivity are presented to measure the effectiveness of the algorithm. Simulation runs are conducted under various network congestion levels, link speeds and link lengths in order to evaluate the network productivity, and the travel time measures of the presented IVC algorithm compared to the benchmark shortest path algorithm, decentralized route guidance systems as well as other IVC-based algorithms. (C) 2015 Elsevier Inc. All rights reserved.

关键词： Inter-vehicular communication Real-time route guidance Microscopic simulation shortest path algorithm Decentralized systems Network performance

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Smell Detection Agent Based Optimization algorithm

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Journal of The Institution of Engineers (India): Series B 2016年第3期97卷 431-436页

作者： Vinod Chandra, S.S. Computer Centre University of Kerala Senate House Campus Palayam ThiruvananthapuramKerala695034 India

In this paper, a novel nature-inspired optimization algorithm has been employed and the trained behaviour of dogs in detecting smell trails is adapted into computational agents for problem solving. The algorithm involves creation of a surface with smell trails and subsequent iteration of the agents in resolving a path. This algorithm can be applied in different computational constraints that incorporate path-based problems. Implementation of the algorithm can be treated as a shortest path problem for a variety of datasets. The simulated agents have been used to evolve the shortest path between two nodes in a graph. This algorithm is useful to solve NP-hard problems that are related to path discovery. This algorithm is also useful to solve many practical optimization problems. The extensive derivation of the algorithm can be enabled to solve shortest path problems. © 2015, The Institution of Engineers (India).

关键词： Nature-inspired computing SDA shortest path algorithm Smell spots

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Based on the logistics and transportation planning and simulation in the field of intelligent transportation 7

Based on the logistics and transportation planning and simul...

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7th International Conference on Traffic Engineering and Transportation System (ICTETS)

作者： Wan, Jun Wang, Jingyi Liaoning Tech Univ Sch Mkt Management Huludao 125105 Peoples R China

ISBN: (纸本)9781510674479

Intelligent transportation system plays an important role in the field of logistics transportation, which can improve the efficiency of logistics transportation, reduce costs and reduce traffic congestion. Logistics transportation planning and simulation is a key problem in the field of intelligent transportation. It can help logistics enterprises to carry out reasonable path planning and resource allocation, predict the possible problems in the transportation process in advance, and optimize the transportation scheme to improve the transportation efficiency. Based on the logistics and transportation planning and simulation in the field of intelligent transportation, this paper studies how to optimize the path selection, resource scheduling and transportation planning arrangement in the process of logistics and transportation through the modeling and simulation of the existing logistics and transportation system. The experimental results of this paper show that the logistics simulation system based on the field of intelligent transportation has advantages over the traditional logistics system in terms of transportation time, cost and safety indicators. Specifically, the average transportation time of this system is 8.5 hours, which is shorter than 10.5 hours of the traditional logistics system;the average cost is 4280 yuan, lower than 5000 yuan of the traditional logistics system, and the average safety index is 93.3%, which is higher than 88.5% of the traditional logistics system. It shows that the logistics simulation system based on the field of intelligent transportation has potential and feasibility in logistics transportation, which is expected to promote the development of logistics industry and improve the efficiency of logistics transportation.

关键词： intelligent transportation logistics transportation planning logistics transportation simulation shortest path algorithm

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An Improved A* algorithm for Traffic Navigation in Real-time Environment 3

An Improved A* Algorithm for Traffic Navigation in Real-time...

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International Conference on Robot Vision and Signal Processing

作者： Wang, Chen Pan, Jeng-Shyang Xu, Hua-Rong Jia, Jie Meng, Zhen-Yu Harbin Inst Technol Shenzhen Grad Sch Innovat Informat Ind Res Ctr HITSZ Shenzhen Peoples R China Harbin Inst Technol Shenzhen Grad Sch Informat Ind Res Ctr Shenzhen Peoples R China Flinders Univ S Australia Sch Comp Sci Engn & Math Bedford Pk SA Australia FU CSEM Bedford Pk SA Australia Xiamen Univ Technol Dept Comp Sci & Technol CST XMUT Xiamen Peoples R China

ISBN: (纸本)9781467396462

With the development of car industry, the number of vehicles traveling on the roads is ever increasing, leading to traffic congestion problem which causes air pollution, driver frustration and meaningless fuel consumption. Excellent navigation algorithm is urgently needed and some solutions have been put forward to tackle the problem. However, existing studies are mostly devised for static networks. They are not effective when they are applied in real dynamic environments. This paper presents an improved A* algorithm in dynamic urban traffic to give an optimal path in real-time traffic environment. This algorithm not only tackles the congestion problem, but also solves the problem more efficiently.

关键词： A star real-time vehicle navigation shortest path algorithm

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