Improved GA-NFS-Based Decision Rule Acquisition in Route Selection for Public Transport Line

2013 ◽  
Vol 278-280 ◽  
pp. 1255-1259
Author(s):  
Min An Tang ◽  
Xiao Ming Wang ◽  
Shuang Yuan

Aimed at the difficulty of the route selection of urban public transport line, a new method was proposed for the improved genetic algorithm BP neural fuzzy system model and algorithm. For the problem of route selection, it is required to acquire evolution rule of system status from the changes of multiple environment variable factors. The BP neural fuzzy system model based on Mamdani inference was given, in order to overcome the existing limitations of BP neural network, it puts forward the thought of algorithm improved by GA. The algorithm as the foundation is applied in route selection of urban road public transport line, and the method’s usability is proven through simulation, calculation and analytical investigation of practical problems on the main lines of bus rapid transit the route selection.

Author(s):  
Muhammad Ghifari Arfananda ◽  
◽  
Surya Michrandi Nasution ◽  
Casi Setianingsih ◽  
◽  
...  

The rapid development of information and technology, the city of Bandung tourism has also increased. However, tourists who visit the city of Bandung have problems with a limited time when visiting Bandung tourist attractions. Traffic congestion, distance, and the number of tourist destinations are the problems for tourists travel. The optimal route selection is the solution for those problems. Congestion and distance data are processed using the Simple Additive Weighting (SAW) method. Route selection uses the Floyd-Warshall Algorithm. In this study, the selection of the best route gets the smallest weight with a value of 5.127 from the Algorithm process. Based on testing, from two to five tourist attractions get an average calculation time of 3 to 5 seconds. This application is expected to provide optimal solutions for tourists in the selection of tourist travel routes.


Author(s):  
Bing Yi ◽  
Renkai Sun ◽  
Long Liu ◽  
Yongfeng Song ◽  
Yinggui Zhang

Abstract It is a challenge for the dynamic inspection of railway route for freight car transporting cargo that out-of-gauge. One possible way is using the inspection frame installed in the inspection train to simulate the whole procedure for cargo transportation, which costs a lot of manpower and material resources as well as time. To overcome the above problem, this paper proposes an augmented reality (AR) based dynamic inspection method for visualized railway routing of freight car with out-of-gauge. First, the envelope model of the dynamic moving train with out-of-gauge cargo is generated by using the orbital spectrum of the railway, and the envelope model is matched with a piece of homemade calibration equipment located on the position of the railway that needs to be inspected. Then, the structure from motion (SFM) algorithm is used to reconstruct the environment where the virtual envelope model occludes the buildings or equipment along the railway. Finally, the distance function is adopted to calculate the distance between the obstacle and the envelope of the freight car with out-of-gauge, determining whether the freight car can pass a certain line. The experimental results show that the proposed method performs well for the route selection of out-of-gauge cargo transportation with low cost, high precision, and high efficiency. Moreover, the digital data of the environments along the railway and the envelope of the freight car can be reused, which will increase the digitalization and intelligence for route selection of out-of-gauge cargo transportation.


2000 ◽  
Author(s):  
Paul B. Deignan ◽  
Peter H. Meckl ◽  
Matthew A. Franchek ◽  
Salim A. Jaliwala ◽  
George G. Zhu

Abstract A methodology for the intelligent, model-independent selection of an appropriate set of input signals for the system identification of an unknown process is demonstrated. In modeling this process, it is shown that the terms of a simple nonlinear polynomial model may also be determined through the analysis of the average mutual information between inputs and the output. Average mutual information can be thought of as a nonlinear correlation coefficient and can be calculated from input/output data alone. The methodology described here is especially applicable to the development of virtual sensors.


2017 ◽  
Vol 4 (4) ◽  
pp. 751-762 ◽  
Author(s):  
Chengdong Li ◽  
Li Wang ◽  
Guiqing Zhang ◽  
Huidong Wang ◽  
Fang Shang

2016 ◽  
Vol 8 (3) ◽  
pp. 351-366 ◽  
Author(s):  
Majdi Al-Mahasneh ◽  
Mohannad Aljarrah ◽  
Taha Rababah ◽  
Muhammad Alu’datt

2016 ◽  
Vol 9 (13) ◽  
pp. 121-139
Author(s):  
Joanna Piechucka

The present article discusses economic issues related to the design of optimal regulatory contracts on the example of the urban public transport industry. It highlights the importance of the design of efficient regulatory contracts in the context of changes facing the urban transportation industry in the European Union. Furthermore, it provides an overview of the main issues put forward in economic literature related to the design of regulatory contracts. It discusses several problems relevant in this context such as informational asymmetries, transaction costs, and regulatory capture. It also comments on a selection of views presented in economic literature dealing with these issues. Finally, the article presents the regulatory framework, contractual practices and characteristics of the French urban public transport industry. France is well known for its long standing tradition of contracting between the State and the private sector in transportation. The analysis of the French example may help to prove useful insights in this regard.


2005 ◽  
Vol 42 (3-4) ◽  
pp. 339-351 ◽  
Author(s):  
Cheng-Jian Lin ◽  
Cheng-Hung Chen
Keyword(s):  

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