Roads have provided convenience to mankind, but much natural destruction occurs when roads are constructed adjacent to mountains. Route selection was based on a qualitative methodology of expert judgment, and the road...
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Roads have provided convenience to mankind, but much natural destruction occurs when roads are constructed adjacent to mountains. Route selection was based on a qualitative methodology of expert judgment, and the road was planned with the operator's objectives and minimum costs in the first place. In this study, we propose a new road route planning method that uses a quantitative and specific method using a genetic algorithm. By focusing on 'habitat destruction' and 'soil erosion due to cut soil', which are major problems caused by the construction of roads, the conflicting objectives of 'minimization of costs for users and builders' are combined and weighted for each purpose. Compared to the existing road, the proposed road could have an 85.52% increase in biodiversity conservation and a 4% improvement in soil loss stability. This model allows decision makers to efficiently generate scenarios by adjusting the weights of goals or substituting data.
Forest roads are a basic necessity in forestry policies and should be planned by considering many factors. This study aims to generate optimum forest road routes and to compare them with current forest roads. First, F...
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Forest roads are a basic necessity in forestry policies and should be planned by considering many factors. This study aims to generate optimum forest road routes and to compare them with current forest roads. First, FRNSM has been produced according to AHP, using nine factors for the study area. Then, risk statuses of the current forest roads are examined. According to results, 35% of the total forest road has high risk. A MATLAB-GUI based an application using optimal path algorithm developed for the second stage of the study has been produced. Using this application, optimum forest road routes have been produced for 11 pilot areas selected from the region. Generated routes have been compared with current forest roads in the region. It has been observed that generated routes in all areas are more suitable than current forest roads in terms of total length and average risk of suitability.
This study aims to generate optimum forest route. Contrary to the traditional manual methods, a dynamic route model has been developed. Along with a dynamic route model, an algorithm has been developed. In this study,...
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This study aims to generate optimum forest route. Contrary to the traditional manual methods, a dynamic route model has been developed. Along with a dynamic route model, an algorithm has been developed. In this study, a landslide susceptibility map that was generated by considering eight factors defined for the study area was used to investigate the risk status of the current forest roads. Then, the optimum forest routes are improved by considering potential landslide areas and several restrictive factors. Finally, the optimum forest road routes were compared to the current forest road routes. The results showed that the developed optimal path algorithm enabled the generation of the optimum forest road route. According to the risk results obtained for current forest roads;559 km of all roads are risky (%37) and 33 km are very risky (%2). In addition, 39% of the existing roads were found to be under landslide risk.
In recent years, with the rapid development of economy and the explosive growth of urban population, China's traffic congestion has increased. Especially in some provincial capitals, the traffic congestion is stil...
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In recent years, with the rapid development of economy and the explosive growth of urban population, China's traffic congestion has increased. Especially in some provincial capitals, the traffic congestion is still continuing in the peak hours, which not only hinders people's travel, but also brings many problems to the management of the relevant authorities. Therefore, optimal design of urban transportation planning is an inevitable choice for the sustainable development of the city This paper mainly studies the optimization design of urban traffic planning based on big data, and establishes the traffic signal quality prediction model by using the improved regression tree algorithm. At the same time, according to the spatial distribution pattern and coverage, K-Centroids distributed clustering algorithm is used to adapt to the current situation of base station optimal deployment. The experimental analysis shows that the iterative termination error of dynamic clustering is set to 0.0001, and the optimal projection direction vector is (0.0163, 0.0098, 0.617, 0.5123, 0.6701). The results show that for the problem of unbalanced distribution of training sample data set, smote method is used to reconstruct the sample data set to achieve the balance, and the experimental data also verify the effectiveness of the designed method. (C) 2021 Published by Elsevier B.V.
Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption and travel time in the urban road network. In this paper, we proposed an optimal vehicle routing algorithm that takes th...
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Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption and travel time in the urban road network. In this paper, we proposed an optimal vehicle routing algorithm that takes the waiting time at signalized intersections and eco-driving model into consideration. First, the data of the floating car collected by the GPS are matched with the electronic map, and the average traveling speed of the vehicle in each road segment is calculated in real time. The position and timing information of the signal lights at each intersection are pre-acquired to establish an eco-driving model at signalized intersections with the support of cooperative vehicle infrastructure system technologies. The vehicle accelerates through the signalized intersection to reduce the waiting time in the case, where the headway is allowed, while the vehicle decelerates to the minimum speed to avoid idling. Based on the traffic lights red light, green light conversion probability, and vehicle energy-saving driving model, the signal light cycle duration is divided into four parts: the green light pass section, the red-light acceleration section, the red light idle section, and the red-light deceleration section. Combining the probability distribution and the fuel consumption model, the average fuel consumption at the intersection area can be calculated. Taking the optimal energy consumption as the goal, combined with the A* algorithm, an optimal path algorithm that considers the influence of traffic lights and energy consumption is proposed. Finally, two examples are tested, including a real-world road map in Changsha city to demonstrate the effectiveness of the proposed algorithm. And the results show that the proposed model has good performance on energy consumption reduction.
Facing the status quo of scattered resources and unreasonable scheduling, this topic firstly researches and analyzes the current situation and the development trend of performance industry gives the related conception...
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ISBN:
(纸本)9781315688589;9781138027855
Facing the status quo of scattered resources and unreasonable scheduling, this topic firstly researches and analyzes the current situation and the development trend of performance industry gives the related conceptions of performance cinema, using this new idea to innovate performances resource management model. Then it researches the problem of resource scheduling under the mode of performance cinema, extracts the special requirements and the main problem of the existing performances resource scheduling, which raises demand for study of new resource scheduling model, on these bases it emphatically analyses the problem of single performance troupe scheduling based on the shortest path, which provides the shortest path route for single performance troupe traveling through many cities by building the corresponding mathematical model with the corresponding algorithm. Additionally, it also carries the research on the optimal cost path route by reference to the relevant calculating basis of transport costs and accommodation costs. Finally, it develops and designs the performance troupe resource scheduling system with ASP and SQL Server in view of the important role of scheduling routes for the troupe multiple city tour. Compared with other routes, it directly shows rationality of the system.
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