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A real-time traffic signal control system: architecture, algorithms, and analysis

A real-time traffic signal control system: architecture, algorithms, and analysis,10.1016/S0968-090X(00)00047-4,Transportation Research Part C-emergin

A real-time traffic signal control system: architecture, algorithms, and analysis   (Citations: 53)
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The paper discusses a real-time traffic-adaptive signal control system referred to as RHODES. The system takes as input detector data for real-time measurement of traffic flow, and “optimally” controls the flow through the network. The system utilizes a control architecture that (1) decomposes the traffic control problem into several subproblems that are interconnected in an hierarchical fashion, (2) predicts traffic flows at appropriate resolution levels (individual vehicles and platoons) to enable pro-active control, (3) allows various optimization modules for solving the hierarchical subproblems, and (4) utilizes a data structure and computer/communication approaches that allow for fast solution of the subproblems, so that each decision can be downloaded in the field appropriately within the given rolling time horizon of the corresponding subproblem. The RHODES architecture, algorithms, and its analysis are presented. Laboratory test results, based on implementation of RHODES on simulation models of actual scenarios, illustrate the effectiveness of the system.
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    • ...1995; Hawas 2004 and 2011; Head & Mirchindani 2001; Logi & Ritchie 2002; Mahmassani et al...

    Hamideh Etemadniaet al. Towards an Autonomic Architecture for Real-Time Traffic Network Manage...

    • ...Realizing the limitations of current practice, considerable research effort has been devoted over the last two decades to studying the problem of real-time traffic network management with the goal of providing real-time decision support capabilities by integrating available ITS services including Advanced Traveler Information Systems (ATIS), Advanced Traffic Management Systems (ATMS), and Advanced Public Transportation Systems (ATPS) (Ben-Akiva, Bierlaire, Bottom, Koutsopoulos, & Mishalani, 1997; Ben-Akiva, Koutsopoulos, Mishalani, & Yang, 1997; Cascetta, Inaudi, & Marquis, 1993; Cuena, Hernandez, & Molina, 1995; Hawas, 2004, 2011; Head & Mirchindani, 2001; Logi & Ritchie, 2002; Mahmassani et al, 1998; Peeta, Pasupathy, & Gedela, 2000; Scemama, 1994; Skabardonis & Geroliminis, 2008; van Katwijk & van Koningsbruggen, 2002; Ziliaskopoulos & Waller 2000)...

    Hamideh Etemadniaet al. Toward an Autonomic Architecture for Real-Time Traffic Network Managem...

    • ...Traffic simulation has been considered as one significant innovation in transportation research and development [3]‐[6]...

    Fenghua Zhuet al. A Case Study of Evaluating Traffic Signal Control Systems Using Comput...

    • ...The majority of the fuzzy logic controllers in the literature depend on raw counting detector data, with very few attempts (such as Palacharla and Nelson 1999, Mirchandani and Head 2001, Wen 2007) made to transfer such data into other traffic measures that could be used to enhance the control intuition and/or effectiveness...

    Y. E. Hawas. An integrated simulation-based fuzzy logic model for real-time traffic...

    • ...The increase of efficiency in performance when using a distributed architecture to largescale traffic networks has been demonstrated in [15]‐[17]...
    • ...A few other traffic signal controls designed and applied for large networks have been presented in [9], [16], and [17] but were based on a simple type-1 fuzzy inference system...

    Balaji Parasumanna Gokulanet al. Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control

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