Tabu Search Strategies for the Public Transportation Network Optimizations with Variable Transit Demand

2008 ◽  
Vol 23 (7) ◽  
pp. 502-520 ◽  
Author(s):  
Wei Fan ◽  
Randy B. Machemehl
Keyword(s):  
Tabu Search ◽  
Public Transportation ◽  
Transportation Network ◽  
Search Strategies ◽  
The Public ◽  
Public Transportation Network

The Ranking of Optimization Schemes of Public Traffic Line Network Based on Set-Pair and Entropy Analysis

2013 ◽  
Vol 790 ◽  
pp. 484-487 ◽  
Author(s):  
Ling Hong ◽  
Si Yuan Qu
Keyword(s):  
Network Optimization ◽  
Public Transportation ◽  
Transportation Network ◽  
Evaluation Process ◽  
Entropy Analysis ◽  
Actual Problem ◽  
The Public ◽  
Public Traffic ◽  
Public Transportation Network ◽  
Optimization Schemes

As there are uncertainties in the public transportation network optimization evaluation process, many existing methods cannot simultaneously describe the uncertainties in different types and therefore will result in an un-objective reflection of the actual problem. In this paper set-pair and entropy analysis is used to analyze the internal connections of the system globally and locally. This model which is simple in calculation and easy to use has theoretical and practical values for new ideas and methods of uncertainty analysis of the public transportation network optimization.

scholarly journals Performance Comparison between the Multi-Colony and Multi-Pheromone ACO Algorithms for Solving the Multi-objective Routing Problem in a Public Transportation Network

2015 ◽  
Vol 69 (1) ◽  
pp. 197-210 ◽  
Author(s):  
Hamed Faroqi ◽  
Mohammad saadi Mesgari
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Performance Comparison ◽  
Objective Functions ◽  
Routing Problem ◽  
The Public ◽  
Multi Objective ◽  
Large Size ◽  
Public Transportation Network ◽  
Complicated Task

Routing in a multimodal urban public transportation network, according to the user's preferences, can be considered as a multi-objective optimisation problem. Solving this problem is a complicated task due to the different and incompatible objective functions, various modes in the network, and the large size of the network. In this research, two optimisation algorithms are considered for solving this problem. The multi-colony and multi-pheromone Ant Colony Optimisation (ACO) algorithms are two different modes of the Multi-Objective ACO (MOACO) algorithm. Moreover, according to the acquired information, the algorithms implemented in the public transportation network of Tehran consist of four modes. In addition, three objective functions have been simultaneously considered as the problem's objectives. The algorithms are run with different initial parameters and afterwards, the results are compared and evaluated based on the different obtained routes and with the aid of the convergence and repeatability tests, diversity and convergence metrics.

Determination of Optimal Public Transportation Routes Using Firefly and Tabu Search Algorithms

2020 ◽  
Vol 4 (5) ◽  
pp. 884-891
Author(s):  
Salwa Salsabila Mansur ◽  
Sri Widowati ◽  
Mahmud Imrona
Keyword(s):  
Tabu Search ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Search Algorithm ◽  
Urban Transportation ◽  
The Public ◽  
Comparison Results ◽  
Congestion Problems ◽  
Transportation Routes

Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.

KVMRT Challenges – Elevated Viaducts and Station Structures

2018 ◽  
Author(s):  
ChongLing Wong
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Economic Trend ◽  
Capital City ◽  
Project Delivery ◽  
Rail Transit ◽  
Kuala Lumpur ◽  
Transit System ◽  
The Public ◽  
Klang Valley

<p>Malaysia’s capital city Kuala Lumpur has been experiencing urbanization growth spurts in the last two decades, in tandem with her rapid economic expansion and progress towards a developed nation. Trailing this economic trend is the need to improve and expand public transportation, particularly in the railway sector. The Klang Valley Mass Rapid Transit (KVMRT) rail transit system was conceived to meet that need and complement the existing public transportation network.</p><p>The first KVMRT metro line commonly known as the SBK line which connects Sg Buloh township in the northern-west and Kajang in the southern-east, was delivered and fully opened to the public ahead of schedule on 17 July 2017. The success of the project was achieved through significant efforts in surmounting many challenges in different aspects. This paper shares the experiences from the perspective of the Project Delivery Partner (PDP) in the planning, design and construction of the viaducts and station structures.</p>

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