INFORMATION SUPPORT OF PUBLIC PASSENGER TRANSPORT NETWORK OPTIMIZATION IN MAJOR CITIES: RELEVANCE AND APPROACHES

This paper explores the invulnerability of urban agglomeration transportation network under the incomplete information attack strategy. This approach employed the site mapping method to construct the urban agglomeration composite transportation network model, and the network is weighted based on the actual passenger flow. Then the nodes are defined according to the overload conditions. In addition, based on the capacity-load model, the cascading failure model of the urban agglomeration passenger transport network is constructed, and the incomplete information attack strategy and network invulnerability measure index are determined. Finally, the case of Hu-Bao-E-Yu urban agglomeration is simulated to quantify the effects of attack strategies with varied information level, node load factors, and capacity weight and distance weight of the residual connected edge. The results reveal that the network crash speed is positively related to the information span of the attacker unless the information span exceeds 0.9 or accuracy exceeds 0.6. When the information span is low, the information accuracy δ has a critical impact on the network crash speed. Moreover, in the presence of attack, high or low values of node load factor are conducive to the improvement of network invulnerability. As a scale-free network, urban agglomeration transportation network shows strong robustness to random attacks and exhibits vulnerability to deliberate attacks. The capacity weight value α and distance weight value β of residual connected edge have different effects on the network invulnerability under different information span strategies.

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ANALYSIS OF POSSIBILITY OF USING NEURAL NETWORK TO FORECAST PASSENGER TRAFFIC FLOWS IN RUSSIA

Aviation ◽

10.3846/16487788.2007.9635952 ◽

2007 ◽

Vol 11 (1) ◽

pp. 28-34 ◽

Cited By ~ 17

Author(s):

Tatiana O. Blinova

Keyword(s):

Neural Network ◽

Transport Network ◽

Air Transport ◽

Investment Efficiency ◽

Traffic Flows ◽

Network Approach ◽

Passenger Transport ◽

Neural Network Approach ◽

Passenger Traffic

At present the problem of forecasting passenger transport demand is of immense importance for air transport producers as well as for investors since investment efficiency is greatly affected by the accuracy and adequacy of the estimation performed. The aim of the present research is to analyze the possibility of using a neural network approach to forecast the expansion of the air‐transport network in Russia.

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The study of properties of Chinese railway passenger transport network

Acta Physica Sinica ◽

10.7498/aps.55.3906 ◽

2006 ◽

Vol 55 (8) ◽

pp. 3906

Author(s):

Zhao Wei ◽

He Hong-Sheng ◽

Lin Zhong-Cai ◽

Yang Kong-Qing

Keyword(s):

Transport Network ◽

Passenger Transport ◽

Railway Passenger Transport ◽

Railway Passenger

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Efficiency assessment of optimizing the schedule of urban passenger transport on duplicate sections

The Russian Automobile and Highway Industry Journal ◽

10.26518/2071-7296-2021-18-1-72-85 ◽

2021 ◽

Vol 18 (1) ◽

pp. 72-85

Author(s):

S. A. Azemsha ◽

I. N. Kravchenia

Keyword(s):

Optimization Technique ◽

Simulation Modelling ◽

Transport Network ◽

Traffic Load ◽

Optimal Time ◽

Passenger Transport ◽

Time Intervals ◽

Transport Services ◽

Efficiency Assessment

Introduction. One of the quality indicators of urban passenger transport services is regularity of route vehicles, which directly depends on a well-designed schedule. An urgent task is to optimize urban passenger transport schedule in response to the improvement in passenger service quality. The purpose of this work is to develop alignment technique of time intervals between consecutive vehicles of different routes on duplicate sections and efficiency assessment of its application.Materials and methods. Optimization technique includes some steps: analysis of public transport network, determining a lot of duplicate sections and their characteristics, calculation the optimal time intervals among arrivals of route vehicles and alignment this intervals among consecutive route vehicles on duplicate sections, analysis of the quality of adjusted schedule of route vehicles and calculating the effect. The simulation model of urban passenger transport within simulation modelling system GPSS World is realized. It allows testing optimization technique of route vehicle scheduling.Conclusions. Adjusting technique of urban passenger transport schedule allows to increase movement steadiness of consecutive vehicles of different routes on duplicate sections, adjust traffic intervals for each route, shorten the traffic load on stations, reducing idle time and queue lengths of route vehicles in front of transport stops and also minimize waiting time for route vehicle by those passengers, who can be transported along several routes.Application. The described technique was tasted in the existing transport network of Gomel.Value. The obtained optimization results can be used by carriers and transport operators to improve the quality of services provided.

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