Decision support system for urban transportation networks

Borne, Pierre; Fayech, B.; Hammadi, Slim; Maouche, S.

doi:10.1109/tsmcc.2003.809355

Cited by 40 publications

(24 citation statements)

References 16 publications

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“…An MAS can be used to study the macroscopic laws of a system by simulating and observing the microscopic behavior of the subjects, which helps provide a more rational and accurate explanation of the evolutionary mechanisms of complex systems (Balaji and Srinivasan, 2010;Borne et al, 2003). Therefore, there is considerable scope for using MASs in urban development simulations.…”

Section: Multi-agent Modelmentioning

confidence: 99%

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

2016

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Global urbanization is exerting severe stress and having far-reaching impacts on the eco-environment, and yet there exists a complex non-linear coupling relationship between the two. Research on the interactive coupling effect between urbanization and the eco-environment will be a popular area of study and frontier in international earth system science and sustainability science in the next 10 years, while also being a high-priority research topic of particular interest to international organizations. This paper systematically collates and summarizes the international progress made in research on interactive coupling theory, coupling relationships, coupling mechanisms, coupling laws, coupling thresholds, coupling models and coupling optimization decision support systems. The research shows that urbanization and eco-environment interactive coupling theories include the Kuznets curve theory, telecoupling theory, planetary boundaries theory, footprint family theory and urban metabolism theory; most research on interactive coupling relationships is concerned with single-element coupling relationships, such as those between urbanization and water, land, atmosphere, climate change, ecosystems and biodiversity; the majority of research on interactive coupling mechanisms and laws focuses on five research paradigms, including coupled human and nature systems, complex social-ecological systems, urban ecosystems, social-economic-natural complex ecosystems, and urbanization development and eco-environment constraint ring; the majority of interactive coupling simulations use STIRPAT models, coupling degree models, multi-agent system models and big data urban computer models; and research has been carried out on urbanization and eco-environment coupling thresholds, coercing risk and optimal decision support systems. An objective evaluation of progress in international research on interactive coupling between urbanization and the eco-environment suggests that there are six main research focal points and six areas lacking research: a lot of research exists on macroscopic coupling effects, with little research on urban agglomeration and scale coupling effects; considerable research exists on sin-

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Section: Multi-agent Modelmentioning

confidence: 99%

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

2016

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“…The new decision process proposed in this study differs from those in previous studies (Borne et al, 2003;Balbo and Pinson, 2005;Ossowski et al, 2005) in that the decision-making process requires updated operators to know the constraints and requirements in their assigned infrastructure and to modify the length of the green light in each specific lane. Operators use this module to mimic the behavior of a transit officer taking into account the variables of the case mentioned in Section 4.2.…”

Section: Decision-making Processmentioning

confidence: 99%

Optimizing urban traffic control using a rational agent

Martínez

Rocha

Laria-Menchaca

2014

J. Zhejiang Univ. - Sci. C

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This paper is devoted to developing and evaluating a set of technologies with the objective of designing a methodology for the implementation of sophisticated traffic lights by means of rational agents. These devices would be capable of optimizing the behavior of a junction with multiple traffic signals, reaching a higher level of autonomy without losing reliability, accuracy, or efficiency in the offered services. In particular, each rational agent in a traffic signal will be able to analyze the requirements and constraints of the road, in order to know its level of demand. With such information, the rational agent will adapt its light cycles with the view of accomplishing more fluid traffic patterns and minimizing the pollutant environmental emissions produced by vehicles while they are stopped at a red light, through using a case-based reasoning (CBR) adaptation. This paper also integrates a microscopic simulator developed to run a set of tests in order to compare the presented methodology with traditional traffic control methods. Two study cases are shown to demonstrate the efficiency of the introduced approach, increasing vehicular mobility and reducing harmful activity for the environment. For instance, in the first scenario, taking into account the studied traffic volumes, our approach increases mobility by 23% and reduces emissions by 35%. When the roads are managed by sophisticated traffic lights, a better level of service and considerable environmental benefits are achieved, demonstrating the utility of the presented approach.

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“…Each kind of traffic tools provides different services to passengers with different speeds, carrying capacity, prices and comfort levels. However, the single index service quality of each trip mode is not completely good [1], the single public transport mode is difficult to meet the residents' pursuit of travelling quality in future, and we must develop multi-model public transport system, give full play to the advantages of different public transport modes, making them supplement to each other. Only reasonable organized city public transport system can offer safe, quick, convenient, on-time, comfortable and economic transportation services to passengers, saving time as much as possible in social activities, meeting the needs of city production, social development and citizens' work and life.…”

Section: Introductionmentioning

confidence: 99%

Applicability of Multi-modal Public Transport System Based on Accessibility Analysis

Zhao¹,

Lu²,

Qiu³

2015

IJCCE

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Abstract:Public transport has a natural disadvantage in terms of speed, comfort and flexibility with respect to individual traffic. While the synergy of various public transport modes can be set to produce the best possible results of public transport system, which may bring superiority relate to individual traffic. Considering the characteristics of the bus speed, the transfer characteristics, this study explored the possibility of multi-modal public transport system to replace individual traffic and the differential application scopes of them from the stands of space accessibility and time accessibility. According to the conclusion, recommendations on public transport modes selection, layout and others are given to improve the effect of multi-modal public transport system.

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Decision support system for urban transportation networks

Cited by 40 publications

References 16 publications

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

Optimizing urban traffic control using a rational agent

Applicability of Multi-modal Public Transport System Based on Accessibility Analysis

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