Dynamic Extra Buses Scheduling Strategy in Public Transport

Yu, Bin; Wang, Ke‐Ming; Peng, Zixuan; Wang, Can; Gao, Ziyou; Yao, Baozhen

doi:10.7307/ptt.v27i3.1547

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…An RCC is used to balance arriving and taking-off. RCC is a dynamic ratio of the total number of arrivals to the total number departures at a moment, which can be defined using equation (13) t…”

Section: Guidance Decision Factorsmentioning

confidence: 99%

“…They conclude that the time-based strategy is better than the deficit-based strategy and the bilevel model proposed performs well with regard to the objective of reducing travel time costs. [13][14][15][16][17][18][19] Wei et al 20 studied the impact of different guidance information on traffic flow with different traffic volumes and different induction rates. Khanjary et al 21 elaborated an autonomous combined traffic signal controller and route guidance system, and their simulation results showed that the system improved the average speed of vehicles significantly.…”

Section: Introductionmentioning

confidence: 99%

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Guidance control strategy for air traffic flow in terminal areas

Zhang

Yang

Fan

et al. 2016

Advances in Mechanical Engineering

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This article researches on the characteristics of air traffic flow with guidance information to improve operation efficiency and safety for terminal control areas. First, several microscopic air traffic flow models are proposed based on aircraft's behavior and operation rules in terminal areas. Second, a traffic flow guidance strategy is developed to optimize aircraft's flight routes and velocities with several guidance decision factors, which include guidance strength, node saturation, runway coordinate coefficient, and so on. Finally, the proposed guidance strategy is verified using simulation with an airport terminal area in China. The simulation results show that the proposed guidance strategy helps in controlling the air traffic flow in a more safe, smooth, and efficient manner by changing the relationship among traffic flow parameters. In addition, the average arrival delays and the average departure delays decrease by 56.3% and 29.4%, respectively, and the total number of conflict resolution behavior also decreases remarkably. It is also found that the runway coordinate coefficient has an important influence on optimization results, and that a certain runway coordination coefficient value (2.5) can help minimize air traffic delays. These results indicate that the proposed guidance strategy helps to remarkably improve air traffic operation safety and efficiency in the terminal area.

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Section: Guidance Decision Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Guidance control strategy for air traffic flow in terminal areas

Zhang

Yang

Fan

et al. 2016

Advances in Mechanical Engineering

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show abstract

“…Bie et al [ 18 ] developed a new algorithm based on GPS data to partition bus operating hours into time of day intervals. Yu et al [ 19 ] used the variation of the intervals between a vehicle and its following vehicle to estimate the irregularity of transit operation and consequently presented a dynamic extra buses scheduling strategy.…”

Section: Introductionmentioning

confidence: 99%

Design of limited-stop service based on the degree of unbalance of passenger demand

et al. 2018

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This paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop service. The degree assessment of unbalanced passenger demand, which is based on the different passenger demand between stations and the unbalance of passengers within the station, is used to judge whether implementing the limited-stop service is necessary for a bus route. The optimization of limited-stop service considers the influence of stop skipping action and bus capacity on the left-over passengers to determine the proper skipping stations for the bus fleet serving the entire route by minimizing both the waiting time and in-vehicle time of passengers and the running time of vehicles. A solution algorithm based on genetic algorithm is also presented to evaluate the degree of unbalanced passenger demand and optimize the limited-stop scheme. Then, the proper strategy is tested on a bus route in Changchun city of China. The threshold of degree assessment of unbalanced passenger demand can be calibrated and adapted to different passenger demands.

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A new methodology for the real-time limited-stop bus service design problem

Hu,

Szeto

2024

Transportmetrica B: Transport Dynamics

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Dynamic Extra Buses Scheduling Strategy in Public Transport

Cited by 3 publications

References 30 publications

Guidance control strategy for air traffic flow in terminal areas

Guidance control strategy for air traffic flow in terminal areas

Design of limited-stop service based on the degree of unbalance of passenger demand

A new methodology for the real-time limited-stop bus service design problem

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