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Intelligent Transportation Systems Magazine, IEEE

Issue 3 • Date Fall 2009

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Displaying Results 1 - 16 of 16
  • IEEE Intelligent Transportation Systems Magazine - Front cover

    Page(s): C1
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  • 2010 IEEE Intelligent Vehicles Symposium - call for papers

    Page(s): C2
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  • Table of contents

    Page(s): 1
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  • A Point of View from the Editor's Desk [Editor's Column]

    Page(s): 2 - 3
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  • IEEE Intelligent Transportation Systems Society Sponsored Conferences - call for papers

    Page(s): 31
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  • ITS and a Low-Hanging Fruit [President's Message]

    Page(s): 4 - 5
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  • 13th International IEEE Conference on Intelligent Transportation Systems - call for papers

    Page(s): 33
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  • Customers' satisfaction in a dial-a-ride problem

    Page(s): 6 - 14
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1423 KB) |  | HTML iconHTML  

    This paper presents a general model for a dial-a-ride problem and a Simulated Annealing approach to solve it focusing on the quality of service. The model includes several distinct cases of the real problems and an objective function that treats transportation costs and customer's inconveniences. The routes are clustered and scheduled in a separate way using specific heuristic methods. The solution method is implemented in C++ and performed over a data set based on real problems. Computational results present new best known solutions with a higher level of quality of service than a recent method found in the literature. View full abstract»

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  • Variable message sign and dynamic regional traffic guidance

    Page(s): 15 - 21
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2584 KB) |  | HTML iconHTML  

    Traffic has always been the infrastructure of national economic and social development. With the pace of urbanization unprecedented speedup and the increase of vehicle possessions, traffic congestion has become a big problem in modern cities. Regional traffic guidance system provides traffic information for road travelers in pre-trip and in on-trip, and guides travelers to change travel modes, choose travel routes, and save travel time to take full advantage of road network resources. Variable message sign (VMS) is one of the main ways to provide traffic information in metropolitan road network, but traditional VMS guidance regions are designated manually by traffic administrators to cause very bad effectiveness and efficiency, and there are even some VMS used only for advertising that have nothing to do with the traffic guidance management. We analyze the traffic guidance model based on VMS, and study the dynamic regional partition problem and the dynamic traffic guidance problem under real-time traffic conditions, and put forward the architecture and two algorithms. The architecture serves mainly for the whole cycle of developing VMS based guidance from raw data collection to traffic information publish. The algorithms dynamically partition traffic guidance regions and dynamically change the vehicle turning ratio at intersections to balance traffic flow and save travel time in guidance regions. The cellular automaton method based on SWARM platform is employed to simulate traffic environment, and verify the effectiveness and efficiency of the model and the algorithms by compare with the other traditional regional guidance algorithm. View full abstract»

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  • Generating artificial popullations for traffic microsimulation

    Page(s): 22 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2988 KB) |  | HTML iconHTML  

    Travel demand is derived from people's participation in daily activities scattered in time and space. Traffic microsimulation starts by generating individuals to participate in activities. In this paper, we propose a framework called Artificial Population Systems (APS) in order to automatically generate artificial populations for traffic microsimulation. Different from the conventional approach using empirical data to generate synthetic populations for the base year, our APS framework can generate artificial populations which evolve with time and space. So, with artificial populations, we will get more reasonable traffic demand forecast and analytical results in long term traffic microsimulation. View full abstract»

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  • IEEE International Conference on Intelligence and Security Informatics (ISI 2010)

    Page(s): 29
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  • Call for papers

    Page(s): 35
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  • Conference report of the IEEE International Conference on Intelligence and Security Informatics (ISI 2009)

    Page(s): 36 - 37
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  • Errata

    Page(s): 34
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  • Calendar

    Page(s): 35
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Aims & Scope

The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief


Miguel Ángel Sotelo

Department of Computer Engineering

University of Alcalá