Decision support for traffic management based on organisational and communicative multiagent abstractions

Ossowskí, Sascha; Hernández, Javier Sánchez; Belmonte, María‐Victoria; Fernández, Alberto; Garcı́a-Serrano, Ana; Pérez-de-la-Cruz, José-Luís; Serrano, Juan-Manuel; Triguero, Francisco Herrera

doi:10.1016/j.trc.2005.07.005

Cited by 46 publications

(24 citation statements)

References 5 publications

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“…Mulay et al (2013) gave the traffic management system which provides facility of congestion detection and management, IPTS and signal synchronization whereas ATMS developed by Balaji and Srinivasan (2011) provides only the traffic signal control for the management of traffic. Logi and Ritchie (2001) and Ossowski et al (2005) gave decision support system (DSS) for traffic management. The former was based on the knowledge based system while the later was based on multi-agent technology.…”

Section: Discussionmentioning

confidence: 99%

“…Adoption of dynamic approach assignment will be better approach for calculating current demand. System developed by Logi and Ritchie (2001), Hernandez et al (2002), Ossowski et al (2005) and Mulay et al (2013) were capable of handling different traffic incidents through different methods, but the system developed by Balaji and Srinivasan (2011) was traffic signal control system to optimize the signal traffic to reduce congestion. It was unable to handle any traffic incidents.…”

Section: Discussionmentioning

confidence: 99%

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Recent trends in intelligent transportation systems: a review

Singh

Gupta

2015

J. Transp. Lit.

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Managing the increasing traffic is a big problem all over the world. Intelligent Transportation System (ITS) provides solution to these problems with the help of new technologies. ITS is an integrated system that implements a broad range of communication, control, vehicle sensing and electronics technologies to solve and manage the traffic problems. ITS is being used in the developed countries since past two decades, but it is still a new concept when developing countries like India, Brazil, China, South Africa etc. are concerned. In the present study we have studied four major parts of the ITS i.e., Advanced Traveler Information System (ATIS), Advanced Traffic Management System (ATMS), Advanced Public Transportation System (APTS), and Emergency Management System (EMS). Objective of the paper is to study various ITS architecture and model and review such models to get in-depth of their architecture. Hence architecture and developed models over the years of four major branches of ITS have been reviewed here to make a comparison analysis of different models that have been developed by the researchers in their studies. It will lead to the gaps in the knowledge which can be further studied. The paper highlights the conclusions extracted from the studies of different systems and also gives the future scope in the field of ITS to make it more user friendly and accessible.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Recent trends in intelligent transportation systems: a review

Singh

Gupta

2015

J. Transp. Lit.

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“…[1,2,3,4,5,6,7,8] This makes simulation system have characteristics like autonomy, reactivity, pro-activity and social ability and so on.…”

Section: Introductionmentioning

confidence: 99%

Intersection-Centric Route Guidance Implementation for Traffic Simulation Based on Multi-Agent

Zhi

Liao

Zhang

2007

2007 International Conference on Machine Learning and Cybernetics

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In traffic simulation systems, the usage of agents and the path searching algorithm are focused now. While simulating a great deal of vehicles in a large map, a great deal of computing resource is required for original-destination calculation. An intersection-centric routing guidance implementation for traffic simulation based on multi-agent is introduced in this paper. Referenced with the computer network routing algorithm, intersections are defined as intelligent agents for route guidance. A multi-agent routing guidance algorithm is proposed and proved by a test under Matlab. It's useful not only in the simulation for vehicles' route guidance but also in crowd evacuation.

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“…Ossowski et al [23] summarized good literatures about the Decision Support Systems that include previous works of French [24], Silver [25], Klein and Methlie [26], Hernandez and Serrano [27], Hernandez and Serrano [28], Vlahavas et al [29], Cuena and Ossowski [30], Ossowski et al [31], Iglesias et al [32], and Hoa Dam and Winikoff [33].…”

mentioning

confidence: 99%

A Framework for Intelligent Decision Support System for Traffic Congestion Management System

Hasan¹

2010

ENG

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Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation planning software, specially the most advanced ones, requires personnel with lots practical transportation planning experience and with high level of education and training. In this paper we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System that utilizes a state of the art transportation network equilibrium modeling and providing an easy to use GIS-based interaction environment. The developed IDSS reduces the dependability on the expertise and level of education of the transportation planners, transportation engineers, or any transportation decision makers.

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Decision support for traffic management based on organisational and communicative multiagent abstractions

Cited by 46 publications

References 5 publications

Recent trends in intelligent transportation systems: a review

Recent trends in intelligent transportation systems: a review

Intersection-Centric Route Guidance Implementation for Traffic Simulation Based on Multi-Agent

A Framework for Intelligent Decision Support System for Traffic Congestion Management System

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