An extended helicopter's rescuing model with multiple points

Tang, Tie-Qiao; Shi, Weifang; Yang, Shichun; Shang, Hongyan

doi:10.1142/s0217984915500207

Mod. Phys. Lett. B

2015

DOI: 10.1142/s0217984915500207

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An extended helicopter's rescuing model with multiple points

Tie-Qiao Tang

Weifang Shi

Shichun Yang

et al.

Abstract: In this paper, we propose an extended helicopter's rescuing model to explore the effects of multiple rescuing points on each helicopter's flying behavior during the whole rescuing process from the numerical perspective. The numerical results show that the proposed model can describe the qualitative effects of multiple rescuing points on each helicopter's speed, running trail and safe region.

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Cited by 5 publications

References 21 publications

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Urban rail departure capacity analysis based on a cellular automaton model

2018

Chinese Phys. B

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As an important traffic mode, urban rail transit is constantly developing toward improvement in service capacity and quality. When an urban rail transit system is evaluated in terms of its service capacity, the train departure capacity is an important index that can objectively reflect the service level of an urban rail transit facility. In light of the existing cellular automaton models, this paper proposes a suitable cellular automaton model to analyze the train departure capacity of urban rail transit under different variable factors and conditions. The established model can demonstrate the train operating processes by implementing the proposed sound rules, including the rules of train departure at the origin and intermediate stations, and the velocity and position updating rules. The properties of train traffic are analyzed via numerical experiments. The numerical results show that the departure capacity is negatively affected by the train departure control manner. In addition, (i) the real-time signal control can offer a higher train service frequency; (ii) the departure capacity gradually rises with the decrease in the line design speed to a limited extent; (iii) the departure capacity decreases with extension in the train length; (iv) the number of departed trains decreases as the train stop time increases; (v) the departure capacity is not affected by the section length. However, the longer the length, the worse the service quality of the urban rail transit line. The experiments show that the proposed cellular automaton model can be used to analyze the train service capacity of an urban rail transit system by performing quantitative analysis under various considered factors, conditions, and management modes.

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Urban rail departure capacity analysis based on a cellular automaton model

2018

Chinese Phys. B

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Prevision of vehicle headway effect on urban traffic with a new car-following model

Peng

et al. 2017

Mod. Phys. Lett. B

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In this study, a new car-following model is established aiming to predict the variation of vehicle headways on urban road. The linear stability condition is derived corresponding to the prevision of headway in moving. The modified Korteweg–de Vries (mKdV) equation is deduced through the nonlinear analysis. The kink–antikink soliton solution of the mKdV equation can interpret the urban traffic jams near the critical point under the prevision of vehicle headway. Moreover, it is clear that the prevision of headway effect did improve the stability of urban traffic flow since the traffic jams are alleviated efficiently by taking into account the prevision of headway term in numerical simulations, which are consistent with the theoretical analysis.

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An improved cellular automata model for train operation simulation with dynamic acceleration

2018

Mod. Phys. Lett. B

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Urban rail transit plays an important role in the urban public traffic because of its advantages of fast speed, large transport capacity, high safety, reliability and low pollution. This study proposes an improved cellular automaton (CA) model by considering the dynamic characteristic of the train acceleration to analyze the energy consumption and train running time. Constructing an effective model for calculating energy consumption to aid train operation improvement is the basis for studying and analyzing energy-saving measures for urban rail transit system operation.

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An extended helicopter's rescuing model with multiple points

Cited by 5 publications

References 21 publications

Urban rail departure capacity analysis based on a cellular automaton model

Urban rail departure capacity analysis based on a cellular automaton model

Prevision of vehicle headway effect on urban traffic with a new car-following model

An improved cellular automata model for train operation simulation with dynamic acceleration

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