Development and Evaluation of New Interface for Registration of New Bus Stops for the On-Demand Bus System

2010 ◽  
Vol 8 (3) ◽  
pp. 188-200 ◽  
Author(s):  
Kota Tsubouchi ◽  
Hiroyuki Yamato ◽  
Kazuo Hiekata
Keyword(s):  
On Demand ◽  
Bus Stops ◽  
Bus System

Adapted Scheduling Algorithm for On-Demand Bus System

2012 ◽  
Vol 10 (2) ◽  
pp. 82-92 ◽  
Author(s):  
Kota Tsubouchi ◽  
Hiroyuki Yamato
Keyword(s):  
Scheduling Algorithm ◽  
On Demand ◽  
Bus System

2404 Development and Proving of Advanced On-demand Bus System

2006 ◽  
Vol 2006.15 (0) ◽  
pp. 171-174
Author(s):  
Morimasa HAYASHIDA ◽  
Takeshi MIZUMA ◽  
Hiroyuki OHNO ◽  
Kazuyuki NARUSAWA ◽  
Yasuhiro DAISHO ◽  
...  
Keyword(s):  
On Demand ◽  
Bus System

scholarly journals Implementation and Evaluation of an On-Demand Bus System

2017 ◽  
Author(s):  
Sevket Gökay ◽  
Andreas Heuvels ◽  
Robin Rogner ◽  
Karl-Heinz Krempels
Keyword(s):  
On Demand ◽  
Bus System

scholarly journals A Self-Adjusting Method to Resist Bus Bunching Based on Boarding Limits

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Shuzhi Zhao ◽  
Chunxiu Lu ◽  
Shidong Liang ◽  
Huasheng Liu
Keyword(s):  
Travel Time ◽  
The State ◽  
New Method ◽  
Bus Bunching ◽  
Total Travel Time ◽  
Urban Bus ◽  
Bus Stops ◽  
Bus Service ◽  
Bus System

Bus bunching is one of the most serious problems of urban bus systems. Bus bunching increases waiting and travel time of passengers. Many bus systems use schedules to reach equal headways. Compared to the idea of schedules and the target headway introduced later, we propose a new method to improve the efficiency of a bus system and avoid bus bunching by boarding limits. Our solution can be effectively implemented when buses cannot travel as planned because of bad road conditions and dynamic demands at bus stops. Besides, using our method, bus headways reach the state with equal headways dynamically and spontaneously without drivers’ explicit intervention. Moreover, the method can improve the level of the bus service and reduce total travel time of passengers. We verify our method using an ideal bus route and a real bus route, both showing the success of the proposed method.

3607 A New On-demand Bus System

2006 ◽  
Vol 2006.15 (0) ◽  
pp. 149-152
Author(s):  
Hiroyuki Yamato ◽  
Kazuo Hiekata ◽  
Kota Tsubouchi ◽  
Wataru Oishi ◽  
Yuji Yamanaka ◽  
...  
Keyword(s):  
On Demand ◽  
Bus System

scholarly journals Hub-Periphery Hierarchy in Bus Transportation Networks: Gini Coefficients and the Seoul Bus System

2020 ◽  
Vol 12 (18) ◽  
pp. 7297 ◽  
Author(s):  
Chansoo Kim ◽  
Segun Goh ◽  
Myeong Seon Choi ◽  
Keumsook Lee ◽  
M. Y. Choi
Keyword(s):  
Gini Coefficient ◽  
City Planning ◽  
Transportation Networks ◽  
Transportation Network ◽  
Growth Dynamics ◽  
Transportation Systems ◽  
The Gini Coefficient ◽  
Bus Stops ◽  
Bus System ◽  
Bus Transportation

Bus transportation networks are characteristically different from other mass transportation systems such as airline or subway networks, and thus the usual approach may not work properly. In this paper, to analyze the bus transportation network, we employ the Gini coefficient, which measures the disparity of weights of bus stops. Applied to the Seoul bus system specifically, the Gini coefficient allows us to classify nodes in the bus network into two distinct types: hub and peripheral nodes. We elucidate the structural properties of the two types in the years 2011 and 2013, and probe the evolution of each type over the two years. It is revealed that the hub type evolves according to the controlled growth process while the peripheral one, displaying a number of new constructions as well as sudden closings of bus stops, is not described by growth dynamics. The Gini coefficient thus provides a key mathematical criterion of decomposing the transportation network into a growing one and the other. It would also help policymakers to deal with the complexity of urban mobility and make more sustainable city planning.

scholarly journals Bus transport network analysis in Rio de Janeiro based on topological models using Social Networks

2020 ◽  
Author(s):  
Diego Carvalho ◽  
Rafael Barbastefano ◽  
Louise Pumar
Keyword(s):  
Social Networks ◽  
Rio De Janeiro ◽  
Transportation Network ◽  
Giant Component ◽  
Space Networks ◽  
Minimum Number ◽  
Bus Stops ◽  
Bus Networks ◽  
Topological Models ◽  
Bus System

In recent years, studies on public transport networks have intensified in the Social Networks field, especially in bus networks, motivated by urban mobility’s relevance for the proper functioning of a city. Rio de Janeiro city, Brazil, has undergone recent changes in its municipal bus system, modifying several lines and bus stops due to the preparation for the Olympic games. This paper analyzes the structure of Rio’s bus transportation network of this city using Social Network technics, comparing its topology in 2014 and 2016 – before and after the change and the properties of the bus system investigated based on the topological models B-space, P-space, and C-space. Some essential parameters were calculated, such as giant component, distance, diameter, degree, closeness, and betweenness. The results showed a reduction of 22.75% of the lines and 5.19% of the bus stops from 2014 to 2016. We show that a maximum of four lines is required to move between any two bus stops within the city in both years. However, with three, it is possible to reach more than 99% of the bus stops. Besides, this study also introduces a new C- space network according to the minimum number of frequent bus stops that the lines had. Based on the giant component analysis of these new C-space networks with many common points, it is possible to detect possible expressway corridors.

Simulation evaluation for on-demand bus system with electrical vehicles

2010 ◽  
Vol 4 (4) ◽  
pp. 307-314
Author(s):  
Naoto Mukai ◽  
Kosuke Kawamura
Keyword(s):  
On Demand ◽  
Simulation Evaluation ◽  
Electrical Vehicles ◽  
Bus System
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