scholarly journals How to Make the Optimization Model for Parking Lots in Taipei

2018 ◽  
Vol 13 (7) ◽  
pp. 262
Author(s):  
Miao-Sheng Chen ◽  
Meng-Feng Lin

Due to the rapid urbanization, motorization and the high density of most urban structures, the parking challenge in Taipei is getting worse. Although public transit systems have advanced as an economical and friendly alternative to cars, people prefer to drive the car to their destination because it takes less time and is more flexible for many trips. As a result, the significant shortage of parking spaces in cities creates a problem for drivers. The lifetime and stability of the mechanism from “nothing” to “something” depend on whether or not the interchangeability of such mechanism can catalyze subsequent operations spontaneously as well as the degree of catalytic power. If the mechanism possesses spontaneous catalytic power for sustainability, and the catalytic process has the “good” to benefit other people without compromising your own interest, the formation of this mechanism will be regarded as “good formation”.

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bowen Hou ◽  
Shuzhi Zhao ◽  
Huasheng Liu ◽  
Jin Li

Traditional transit systems are susceptible to unexpected costs and delays due to unforeseen events, such as vehicle breakdowns. The randomness of these events gives the appearance of an imbalance in the number of operating vehicles and of unreliable transit services. Therefore, this paper proposes the queueing theory as a means to characterize the state of any given transit system considering the risk of vehicle breakdowns. In addition, the proposed method is used to create an optimized model for reserve fleet sizes in transit systems, in order to ensure the reliability of the transit system and minimize the total cost of any transit system exposed to the risks of vehicle breakdowns. The optimization is conducted based on the two main characteristics of all bus systems, namely, operator costs and user costs, in both normal and disruptive situations. In addition, the situations in our optimization are generated in scenarios that have a certain degree of probability of experiencing delays. This paper formulates such an optimization model, presents the formulation solution method, and proves the validity of the proposed method.


2015 ◽  
pp. 149-175
Author(s):  
Martin Wachs ◽  
Camille N.Y. Fink ◽  
Anastasia Loukaitou-Sideris ◽  
Brian D. Taylor

Author(s):  
Prof. Swati Shinde ◽  
Tanveer Shaikh ◽  
Anilkumar Vandha ◽  
Harshil Sheth ◽  

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