scholarly journals Bangkok Bus Route Planning API

2016 ◽  
Vol 86 ◽  
pp. 441-444 ◽  
Author(s):  
Nuengwong Tuaycharoen ◽  
Adisorn Sakcharoen ◽  
Wuttiporn Cha-aim
Keyword(s):  
Route Planning ◽  
Bus Route Planning

A Study on Bus Route Planning Model

1981 ◽  
Vol 14 (2) ◽  
pp. 2385-2390
Author(s):  
K. Amano ◽  
Y. Zenitani
Keyword(s):  
Route Planning ◽  
Planning Model ◽  
Bus Route Planning

scholarly journals Multiperspective Bus Route Planning in a Stackelberg Game Framework

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xinyu Liu ◽  
Jie Yu ◽  
Xiaoguang Yang ◽  
Weijie Tan
Keyword(s):  
Service Providers ◽  
Stackelberg Game ◽  
Route Planning ◽  
Government Agencies ◽  
Fleet Size ◽  
Bisection Algorithm ◽  
Proposed Model ◽  
Bus Route Planning ◽  
The Impact

Bus route planning is a challenging task due to multiple perspective interactions among passengers, service providers, and government agencies. This paper presents a multidimensional Stackelberg-game-based framework and mathematical model to best trade off the decisions of multiple stakeholders that previous literature rarely captures, i.e., governments, service providers, and passengers, in planning a new bus route or adjusting an existing one. The proposed model features a bilevel structure with the upper level reflecting the perspective of government agencies in subsidy allocation and the lower level representing the decisions of service providers in dispatching frequency and bus fleet size design. The bilevel model is framed as a Stackelberg game where government agencies take the role of “leader” and service providers take the role of “follower” with social costs and profits set as payoffs, respectively. This Stackelberg-game-based framework can reflect the decision sequence of both participants as well as their competition or collaboration relationship in planning a bus route. The impact of such decisions on the mode and route choices of passengers is captured by a Nested Logit model. A partition-based bisection algorithm is developed to solve the proposed model. Results from a case study in Shanghai validate the effectiveness and performance of the proposed model and algorithm.

scholarly journals Location-Based Augmented Reality Information for Bus Route Planning System

2015 ◽  
Vol 5 (1) ◽  
pp. 142 ◽  
Author(s):  
Komang Candra Brata ◽  
Deron Liang ◽  
Sholeh Hadi Pramono
Keyword(s):  
Augmented Reality ◽  
Smart Phone ◽  
Route Planning ◽  
Planning System ◽  
Full Potential ◽  
Additional Information ◽  
Bus Stop ◽  
Information Layer ◽  
Bus Route Planning ◽  
Base Application

Bus Route Planner applications will unfold their full potential when bus passengers are enabled to get information about the shortest path route, make a travel plan and get the correct buses in order to reduce the travel time. However, all these information are provided in text based and map view. It is difficult to understand them for the person who does not know place in the map. This paper describes the android base application of Augmented Reality (AR) that has feature to support the action of a bus user in an innovative and dynamic ways by putting additional information layer on smart phone camera screen and give the instruction assistant that leading the user way to the nearest bus stop. The experimental results show that, the overall functional of proposed application can be run well in various type of Android smart phone. When compared with similar bus traveling applications, the proposed application works more efficient.

scholarly journals Optimization of Bus Route Planning in Urban Commuter Networks

2003 ◽  
Vol 6 (1) ◽  
pp. 53-79 ◽  
Author(s):  
Steven Chien ◽  
Branislav Dimitrijevic ◽  
Lazar Spasovic
Keyword(s):  
Route Planning ◽  
Bus Route Planning

scholarly journals Software Development of Automatic Data Collector for Bus Route Planning System

2015 ◽  
Vol 5 (1) ◽  
pp. 150 ◽  
Author(s):  
Adam Hendra Brata ◽  
Deron Liang ◽  
Sholeh Hadi Pramono
Keyword(s):  
Augmented Reality ◽  
Data Processing ◽  
Public Transportation ◽  
Route Planning ◽  
Prediction Algorithm ◽  
Automatic Data ◽  
Data Collector ◽  
Time Prediction ◽  
Collector System ◽  
Bus Route Planning

<p>Public transportation is important issue in Taiwan. Recently, mobile application named Bus Route Planning was developed to help the user to get information about public transportation using bus. But, this application often gave the user inaccurate bus information and this application has less attractive GUI. To overcome those 2 problems, it needed 2 kinds of solutions. First, a more accurate time prediction algorithm is needed to predict the arrival time of bus. Second, augmented reality technology can be used to make a GUI improvement. In this research, Automatic Data Collector system was proposed to give support for those 2 solutions at once. This proposed system has 3 main functionalities. First, data collector function to provide some data sets that can be further analyzed as an base of time prediction algorithm. Second, data updater functions to provide the most updated bus information for used in augmented reality system. Third, data management function to gave the system better functionality to supported those 2 related systems. This proposed Automatic Data Collector system was developed using batch data processing scenario and SQL native query in Java programming language. The result of testing shown this data processing scenario was very effective to made database manipulation especially for large-sized data.</p>

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