Exploiting the Knowledge of Dynamics, Correlations and Causalities in the Performance of Different Road Paths for Enhancing Urban Transport Management

2019 ◽  
pp. 28-40 ◽  
Author(s):  
Glykeria Myrovali ◽  
Theodoros Karakasidis ◽  
Avraam Charakopoulos ◽  
Panagiotis Tzenos ◽  
Maria Morfoulaki ◽  
...  
Keyword(s):  
Urban Transport ◽  
Transport Management

scholarly journals Improvement of the urban transport management system with elements of artificial intelligence.

2014 ◽  
Vol 2014 (3) ◽  
pp. 93-98
Author(s):  
Наталия Суханова ◽  
Nataliya Sukhanova ◽  
Юрий Соломенцев ◽  
Yuriy Solomentsev ◽  
Сергей Шептунов ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Transport System ◽  
Management System ◽  
Urban Transport ◽  
Artificial Neuron ◽  
Neuron Networks ◽  
Transport Management

In this article are developed wants to the monorail transport system, described structure of control system. There were choused tools for the realization of the control system on the base of artificial neuron networks.

scholarly journals Scalable System for Smart Urban Transport Management

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Nauman Ahmad Khan ◽  
Jean-Christophe Nebel ◽  
Souheil Khaddaj ◽  
Vesna Brujic-Okretic
Keyword(s):  
Real Time ◽  
Large Scale ◽  
High Volume ◽  
Heterogeneous Data ◽  
Urban Transport ◽  
Capital City ◽  
Strategic Decision ◽  
Sensor Data ◽  
Transport Systems ◽  
Transport Management

Efficient management of smart transport systems requires the integration of various sensing technologies, as well as fast processing of a high volume of heterogeneous data, in order to perform smart analytics of urban networks in real time. However, dynamic response that relies on intelligent demand-side transport management is particularly challenging due to the increasing flow of transmitted sensor data. In this work, a novel smart service-driven, adaptable middleware architecture is proposed to acquire, store, manipulate, and integrate information from heterogeneous data sources in order to deliver smart analytics aimed at supporting strategic decision-making. The architecture offers adaptive and scalable data integration services for acquiring and processing dynamic data, delivering fast response time, and offering data mining and machine learning models for real-time prediction, combined with advanced visualisation techniques. The proposed solution has been implemented and validated, demonstrating its ability to provide real-time performance on the existing, operational, and large-scale bus network of a European capital city.

IoT Enabled real-Time urban transport management system

2020 ◽  
Vol 86 ◽  
pp. 106746 ◽  
Author(s):  
Vatsal Chauhan ◽  
Meetu Patel ◽  
Sudeep Tanwar ◽  
Sudhanshu Tyagi ◽  
Neeraj Kumar
Keyword(s):  
Real Time ◽  
Management System ◽  
Urban Transport ◽  
Transport Management

scholarly journals THE APPLICATION OF FOREIGN METHODS OF INCREASING THE EFFICIENCY OF PUBLIC TRANSPORT IN THE SYSTEM OF STATE GOVERNANCE OF THE REPUBLIC OF KAZAKHSTAN

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Gulnara Baikushikova ◽  
Mukhamed al-Hoderi ◽  
K. S. Mukhtarova ◽  
Z. B. Balgabayeva ◽  
Y. S. Chukubayev
Keyword(s):  
Public Administration ◽  
Social Services ◽  
Public Transport ◽  
High Efficiency ◽  
The State ◽  
Urban Transport ◽  
Quality Of Services ◽  
Transport Services ◽  
Transport Management

Within the framework of the public administration system effectiveness in the provision of services to the population, the authors consider topical issues of improving the quality of the work of such a social sector as public transport. It is noted that the state reform of public transport demonstrates high efficiency in implementing a set of tasks (development of digitalization of the industry, renovation of transport parks, etc.). However, in the field of transport services, there are still open meta related to the need to optimize their practical activities. An important point in the study is the analysis of the features in assessing the degree of satisfaction with transport services consumers. These features are largely due to the quality of the driver himself, who is the subject of providing services to vehicle users, and the key role of passengers who are able to objectively assess the work of social services. The article discusses various methods of increasing efficiency, including in the field of transport management. The Kazakhstani experience of research and application of these and other approaches to improving the efficiency of public transport management is considered. Having considered this practice, it is proposed to introduce an assessment of the satisfaction of public transport passengers; to implement the research objectives, the authors proposed a methodology based on the results of a survey of the population in an online format. In the presence of an integrated mobile application, this methodology will make it possible to introduce an estimated indicator of passenger satisfaction with completed trips. The result of these measures should be an improvement in the quality of services provided by public transport, which, in turn, will stimulate the abandonment of private vehicles in favor of public ones, significantly improve the environmental situation in the city, and also be able to relieve the traffic of city streets during almost all working hours. In the context of the state program for the implementation of the "smart" urban transport project, the maximum optimization of the existing system and the achievement of the ultimate goal of ensuring comfortable and safe travel by public transport is possible. Keywords: public administration, efficiency, key performance indicators, KPI system, KPI system algorithm, customer satisfaction, efficiency assessment, quality of services to the population, social work.

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