Because of the limitations of electric vehicle(EV)battery technology and relevant supporting facilities,there is a great risk of breakdown of EVs during *** resulting driver“range anxiety”greatly affects the travel ...
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Because of the limitations of electric vehicle(EV)battery technology and relevant supporting facilities,there is a great risk of breakdown of EVs during *** resulting driver“range anxiety”greatly affects the travel quality of *** limitations should be overcome to promote the use of *** this study,a method for travel path planning considering EV power supply was ***,based on real-time road conditions,a dynamic energy model of EVs was established considering the driving energy and accessory ***,a multi-objective travel path planning model of EVs was constructed considering the power supply,taking the distance,time,energy,and charging cost as the optimization ***,taking the actual traffic network of 15 km×15 km area in a city as the research object,the model was simulated and verified in MATLAB based on dijkstra shortest path *** simulation results show that compared with the traditional route planning method,the total distance in the proposed optimal route planning method increased by 1.18%,but the energy consumption,charging cost,and driving time decreased by 11.62%,41.26%and 11.00%,respectively,thus effectively reducing the travel cost of EVs and improving the driving quality of EVs.
Reasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequenc...
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Reasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequence based on Monte Carlo tree search algorithm. First, the generator serial restoration sequence mechanism during the restoration process is analyzed. Considering the maximization of the total power generation capacity as the objective function, this paper also consider generator's hot start. Second, the Monte Carlo tree search algorithm (MCTS) is applied to decide the generator serial restoration sequence. In the simulation stage of MCTS, the dijkstra's algorithm is utilized to determine the shortest path between the selected generator and the recovered power system. Finally, the IEEE 39 bus system and Hebei power grid system are used to validate the proposed algorithm. Simulation results show that the proposed method is efficiency and it can provide an reasonable generator serial restoration sequence to maximizing power generation during the restoration process.
Discrete evidence generally exists in the fields of expert systems,pattern recognition,and decision *** to solve the fusion of discrete evidence is an open *** order to solve the problem that the number of calculation...
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Discrete evidence generally exists in the fields of expert systems,pattern recognition,and decision *** to solve the fusion of discrete evidence is an open *** order to solve the problem that the number of calculations increases exponentially with the increase of the number of discrete evidences,a method for calculating the shortest path based on dijkstra is ***,the normalized discrete evidence is decomposed into the exact value of the evidence as far as possible,and then the Jousselme distance between the two pairs of evidence between the evidence groups is *** Jousselme distance is designed to measure the conflict between the *** the dijkstra shortest path algorithm is used to find the path with the largest and smallest Jousselme *** path here indicates the discrete evidence group with the largest fusion distance and smallest fusion *** use Dempster combination to fuse the evidence after weighted average and give the interval value of ***,two groups discrete evidence are given for verification to illustrate the rationality and effectiveness of the method.
Average speed control (ASC) is a speed measurement method based on the time and distance. The minimum distance between road sections is the requirement of the International Organization of Legal Metrology (OIML) for t...
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ISBN:
(纸本)9781665439060
Average speed control (ASC) is a speed measurement method based on the time and distance. The minimum distance between road sections is the requirement of the International Organization of Legal Metrology (OIML) for the distance between sections in ASC. In the past, the calculation of the distance between road sections in China was based on the minimum section road length obtained by driving motor vehicles in fixed lanes. This calculation method ignores the lane change of the motor vehicle, so this distance is not the minimum distance a motor vehicle can travel (theoretical minimum driving route distance). The theoretical minimum driving route distance is difficult to obtain through actual motor vehicle driving. In order to solve this problem, this research used unmanned aerial vehicle (UAV) technology to establish the three-dimensional (3D) road modeling. Based on 3D road modeling, we applied dijkstra algorithm to obtain absolute theory minimum driving route distance. We compare the calculated theoretical minimum driving route distance with the road length obtained by traditional methods. The experimental results show that the calculated theoretical minimum driving route distance is lower than the road length in the section. It can be seen that the theoretical minimum driving route distance is more in line with OIML's international recommendations for the minimum distance requirements in ASC. At the same time, the accurate calculation of the theoretical minimum driving route distance can improve the accuracy and theory of speeding monitoring, which is of great significance to police traffic law enforcement and provides protection for people's driving safety.
Plug and produce demonstrators handles multiple processes in the industry, appropriate path planning is essential and at the same time there is an increasing emphasis on more sustainable processes. To ensure the susta...
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ISBN:
(纸本)9781728129891
Plug and produce demonstrators handles multiple processes in the industry, appropriate path planning is essential and at the same time there is an increasing emphasis on more sustainable processes. To ensure the sustainability and automate these processes optimized path planning is required. We present an implementation of a path planning algorithm, which creates a smooth collision free path and considers energy use. In the paper, we demonstrated the implementation of PRM (Probabilistic Road Map) path planning and dijkstra based optimization algorithm in a simulation environment and thereafter test in a real plug and produce demonstrator. To validate the simulated results the real energy was measured through the signal analyzer online. The measured results outlined in this paper includes;computational time, move along path time, and energy use with different loads. From the experiments and results we conclude that the combination of the two algorithms, PRM with dijkstra, can be used to generate a collision free optimized path. Here we have considered the distance as the cost function for dijkstra optimization algorithm and measured the energy of the collision free optimized path. The practical implication of this research is as an enabler for any kind of application where there are large variations of orders e.g., kitting techniques in assembly operations for manufacturing industry.
Medical delivery robot refers to the delivery robot used in the medical *** with ordinary delivery robots,the medical delivery robot needs to work in an environment with many people,which means that it needs to deal w...
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Medical delivery robot refers to the delivery robot used in the medical *** with ordinary delivery robots,the medical delivery robot needs to work in an environment with many people,which means that it needs to deal with many random obstacles at any *** article will discuss automatically avoiding obstacles,and formulate and compare algorithms to analyze the advantages and disadvantages of automatic road exploration algorithms of different *** order to accomplish this goal,this paper will use Matlab as the main development tool and use the A-star algorithm and the Euclid algorithm as the main heuristics in the main mathematical model of the *** program needs to be able to complete the obstacle avoidance task in a map with random size,random position,random shape,and random number of obstacles,and be able to reach the end point from the starting *** addition,this paper will also discuss the efficiency of the A-star algorithm and the dijkstra algorithm in obstacle avoidance and route planning,and demonstrate why the A-star algorithm is more efficient by taking time and congestion indicators.
This study copes with the problem of finding the optimal route that a pedestrian could follow in order to move into an urban environment taking into consideration various criteria and possible points of interest, eith...
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ISBN:
(纸本)9783030694791;9783030694807
This study copes with the problem of finding the optimal route that a pedestrian could follow in order to move into an urban environment taking into consideration various criteria and possible points of interest, either objective nor subjective. For this purpose, an appropriate computational model has been designed, based on Cellular Automata (CA) that responds taking into consideration the walkability of the urban area under study. The latter feature encompasses a variety of qualitative parameters in regard to the pedestrian mobility. Thus, this model aims at enforcing more sustainable transport approaches, such as walking. In order to evaluate the functionality of the proposed model, an initial application is carried out in the city of Xanthi, North-East Greece, in order to verify the plausibility and completeness of the proposed routes in different scenarios.
Aiming at the problem of the shortest path's optimization for direct navigation of ships, the dijkstra algorithm search is improved. The environment of the ship's navigation area was modeled by rasterization a...
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ISBN:
(纸本)9781728158556
Aiming at the problem of the shortest path's optimization for direct navigation of ships, the dijkstra algorithm search is improved. The environment of the ship's navigation area was modeled by rasterization and swelling. Then the four-direction search,eight-direction search and arbitrary-angle search based on the dijkstra algorithm were improved, and the three search methods were compared. Simulation experiments and research results show that the improved arbitrary angle search method can best meet the requirement of the shortest direct flight path.
Safe lane changing of the dynamic industrial park and port scenarios with autonomous trucks involves the problem of planning an effective and smooth trajectory. To solve this problem, we propose a new trajectory plann...
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Safe lane changing of the dynamic industrial park and port scenarios with autonomous trucks involves the problem of planning an effective and smooth trajectory. To solve this problem, we propose a new trajectory planning method based on the dijkstra algorithm, which combines the dijkstra algorithm with a cost function model and the Bezier curve. The cost function model is established to filter target trajectories to obtain the optimal target trajectory. The third-order Bezier curve is employed to smooth the optimal target trajectory. Road experiments are carried out with an autonomous truck to illustrate the effectiveness and smoothness of the proposed method. Compared with other conventional methods, the improved method can generate a more effective and smoother trajectory in the truck lane change.
With the rapid economic and social development of our country, the number of private cars has also increased rapidly, and at the same time, the problems of noise pollution and environmental pollution have become more ...
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With the rapid economic and social development of our country, the number of private cars has also increased rapidly, and at the same time, the problems of noise pollution and environmental pollution have become more and more prominent. As a kind of new energy vehicle, electric vehicle has quickly entered people's field of vision with its advantages of no pollution, low noise, convenient use and high energy utilization efficiency. However, wide-spread and universal adoption of electric vehicles requires a well-established infrastructure for electric vehicles, namely a network of charging facilities. Nowadays, there are still problems such as unreasonable location selection and unsound network in the setting of charging stations. It is urgent to analyze the current road network and build a reasonable charging station selection model. With the help of geographic information system, this paper analyzes and integrates the traffic hot spots and road network in Lingang area of Shanghai, and constructs a charging station site selection model with the help of charging station accessibility and charging station construction cost. The model composition is determined, and reference opinions are provided for the site selection and construction of the charging station.
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