Optimization Model for Town–Village Bus Service Frequency Design

CICTP 2016 ◽  
2016 ◽  
Author(s):  
Shengli Li ◽  
Zhirui Ye ◽  
Chao Wang
2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Rui Li ◽  
Changjiang Zheng ◽  
Wenquan Li

Transit signal priority has a positive effect on improving traffic condition and level of transit service in the urban area. In this paper, a passenger-based transit signal priority (TSP) optimization model is formulated to optimize intersection signal phasing based on minimizing accessibility-based passenger delay at the intersection and increased waiting-delay at the downstream bus stop simultaneously. Genetic Algorithm is utilized to calculate passenger-based optimization model that is calibrated by evening rush hour actual traffic data (17:30–18:30, October 13th–October 15th, 2015) along Shuiximen Boulevard in Nanjing, China. The performance of the proposed optimization model in decreasing delay and improving system reliability is simulated and evaluated by VISSIM-based simulation platform, and the results illustrate that the proposed optimization model presents promising outcomes in decreasing accessibility-based passenger delay at intersection (average reduction of 12%) and passenger waiting-delay at downstream bus service stop (average reduction of 18%) compared with traditional vehicle-based TSP optimization method in rush hour.


2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Shuzhi Zhao ◽  
Dong Wang ◽  
Jian Sun ◽  
Huasheng Liu

Nowadays, bus lines commonly share terminals, especially in urban areas, because an independent operation of each line would cause a large waste of resources. In addition, if lines share terminal all lines can be monitored by unified management, while the vehicles of different sizes can complement each other. Although the dispatcher generally sets up fixed departure intervals for bus lines, there are differences between bus lines in terms of operating time distribution and line volume. Thus, a new optimization model for multi-vehicle-type structure in urban bus system is proposed in this paper. The optimization was conducted according to two main characteristics of bus systems, bus company expense and bus service quality. The optimization model was designed based on minimal possible expense and maximal possible quality. At the same time, we proposed a Markov method based on alternative relations to solve the model. The proposed model was verified by real urban bus system. Moreover, the simulations in MATLAB software environment have proven a high efficiency and applicability of the proposed method.


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Nur Syahira Zulkefly ◽  
Abdul Azeez Kadar Hamsa

Poor service adherence to the scheduled timetable and less service frequency during peak hours have contributed to unreliable shuttle bus services in International Islamic University Malaysia. As a result, students use either private vehicles or walk on-campus rather than riding the shuttle buses. This paper analyse travel time and passenger ridership of shuttle bus services from field surveys on journey time, running time, dwell time and passenger volume along Mahallah Ruqayyah and Mahallah Salahuddin shuttle bus routes. One of the key results on travel time indicates poor service adherence by bus service providers. In terms of passenger ridership, there was a huge gap between Mahallah Ruqayyah and Mahallah Salahuddin route where Mahallah Salahuddin has recorded a low passenger ridership even during peak hours. The findings also show that the service frequency of shuttle bus during peak hours cannot accommodate all students and therefore students either walk or use private vehicles to commute within campus area. Recommendations on the improvement of shuttle bus services are also discussed in this paper.


1977 ◽  
Vol 11 (1) ◽  
pp. 63-65 ◽  
Author(s):  
Ashish Sen ◽  
Chris Johnson

Author(s):  
Shuhairy Norhisham ◽  
Muhammad Fadhlullah Abu Bakar ◽  
Zainul Hazwani Abd Samad ◽  
Agusril Syamsir ◽  
Nur’atiah Zaini ◽  
...  

1984 ◽  
Author(s):  
M. A. Montazer ◽  
Colin G. Drury
Keyword(s):  

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