Simulation Laboratory for Evaluating Dynamic Traffic Management Systems

2000 ◽  
Vol 1710 (1) ◽  
pp. 122-130 ◽  
Author(s):  
Qi Yang ◽  
Haris N. Koutsopoulos ◽  
Moshe E. Ben-Akiva
Keyword(s):  
Traffic Management ◽  
Transportation Systems ◽  
Management Systems ◽  
Route Guidance ◽  
Dynamic Traffic ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Simulation Based ◽  
Traffic Management System

Advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS) are promising technologies for achieving efficiency in the operation of transportation systems. A simulation-based laboratory environment, MITSIMLab, is presented that is designed for testing and evaluation of dynamic traffic management systems. The core of MITSIMLab is a microscopic traffic simulator (MITSIM) and a traffic management simulator (TMS). MITSIM represents traffic flows in the network, and the TMS represents the traffic management system under evaluation. An important feature of MITSIMLab is its ability to model ATMS or ATIS that generate traffic controls and route guidance based on predicted traffic conditions. A graphical user interface allows visualization of the simulation, including animation of vehicle movements. An ATIS case study with a realistic network is also presented to demonstrate the functionality of MITSIMLab.

Human Factors and Advanced Traffic Management Systems

1992 ◽  
Vol 36 (15) ◽  
pp. 1068-1072
Author(s):  
Joseph I. Peters ◽  
King M. Roberts
Keyword(s):  
Human Factors ◽  
Public Transportation ◽  
Traffic Management ◽  
Transportation Systems ◽  
Management Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Control Functions ◽  
Public Transportation Systems ◽  
And Control

Advanced Traffic Management Systems (ATMS) are those components of Intelligent Vehicle Highway Systems (IVHS) that integrate traffic detection, communication, and control functions to be responsive to dynamic traffic conditions and increase the efficiency of existing traffic networks. ATMS provide the management foundation that will enable and integrate other IVHS components such as Commercial Vehicle Operations, Advanced Traveler Information Systems, Advanced Vehicle Control Systems, and Advanced Public Transportation Systems. This paper defines Advanced Traffic Management Systems. It also describes the functions that may take place within an ATMS-class Traffic Management Center (TMC), a scenario that a future TMC operator may encounter, and some of the human factors issues that must be addressed in the design of an ATMS-class TMC.

Simulation-Based Evaluation of Advanced Traveler Information Systems

2005 ◽  
Vol 1910 (1) ◽  
pp. 90-98 ◽  
Author(s):  
Ramachandran Balakrishna ◽  
Haris N. Koutsopoulos ◽  
Moshe Ben-Akiva ◽  
Bruno M. Fernandez Ruiz ◽  
Manish Mehta
Keyword(s):  
Information Systems ◽  
Dynamic Network ◽  
Evaluation Methodology ◽  
Design Parameters ◽  
Route Guidance ◽  
Test Bed ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Simulation Based

Traveler information has the potential to reduce travel times and improve their reliability. Studies have verified that driver overreaction from the dissemination of information can be eliminated through prediction-based route guidance that uses short-term forecasts of network state. Critical off-line tests of advanced dynamic traffic assignment–based prediction systems have been limited, since the system being evaluated has also been used as the test bed. This paper outlines a detailed simulation-based laboratory for the objective and independent evaluation of advanced traveler information systems, a laboratory with the flexibility to analyze the impacts of various design parameters and modeling errors on the quality of the generated guidance. MITSIMLab, a system for the evaluation of advanced traffic management systems, is integrated with Dynamic Network Assignment for the Management of Information to Travelers (DynaMIT), a simulation-based decision support system designed to generate prediction-based route guidance. Evaluation criteria and requirements for the closed-loop integration of MITSIMLab and DynaMIT are discussed. Detailed case studies demonstrating the evaluation methodology and sensitivity of DynaMIT's guidance are presented.

Intelligent Vehicle Highway Systems (IVHS): Human Factors Issues in Subsystem Development

1992 ◽  
Vol 36 (15) ◽  
pp. 1063-1063
Author(s):  
Truman M. Mast ◽  
Joseph I. Peters
Keyword(s):  
Human Factors ◽  
Public Transportation ◽  
Traffic Management ◽  
Transportation Systems ◽  
Common Element ◽  
Intelligent Vehicle ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Public Transportation Systems ◽  
Intelligent Vehicle Highway Systems

Intelligent Vehicle-Highway Systems (IVHS) is a major U.S. Department of Transportation initiative to improve the safety and efficiency of our nation's highways. IVHS includes five related components: Advanced Traffic Management Systems (ATMS); Advanced Traveler Information Systems (ATIS); Commercial Vehicle Operations (CVO); Advanced Vehicle Control Systems (AVCS); and, Advanced Public Transportation Systems (APTS). Although the Federal Highway Administration has initially chosen to address each of these components separately, a number of issues are shared by all components. One critical common element deals with the capabilities of the humans in the system. Appropriate guidelines that consider the needs and capabilities of operators, maintainers, and users will be critical for efficient functioning of each system. Efforts are underway to define and resolve critical human factors issues related to IVHS components. This symposium addresses four of the five more highway related IVHS components. For each of these components, presenters will define the key engineering characteristics, hypothetical scenarios that focus on human-system interfaces, and examples of human factors issues that must be considered in the design of IVHS systems.

Human Factors and Advanced Traveler Information Systems (ATIS)

1992 ◽  
Vol 36 (15) ◽  
pp. 1073-1077 ◽  
Author(s):  
William A. Perez ◽  
Truman M. Mast
Keyword(s):  
Information Systems ◽  
Human Factors ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Traffic Management ◽  
New Technology ◽  
Transportation Systems ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Traveler Information Systems

The nation's motoring public is increasingly burdened by recalcitrant transportation problems, many of them directly attributable to increasing traffic congestion. In response to this, the US. Department of transportation is actively moving on several fronts to address this problem. One of the more promising approaches to relieving congestion is through the design and implementation of new technology in the Intelligent Vehicle/Highway System (IVHS). IVHS is composed of five elements: Advanced Traffic Management Systems (ATMS), Advanced Traveler Information Systems (ATIS), Commercial Vehicle Operations (CVO), Advanced Vehicle Control Systems (AVCS), and Advanced Public Transportation Systems (APTS). This paper will discuss human factors issues associated with ATIS.

High density European Rail Traffic Management System (HD-ERTMS) for urban railway nodes: The case study of Rome

2021 ◽  
Vol 17 ◽  
pp. 100232
Author(s):  
Federico Cuppi ◽  
Valeria Vignali ◽  
Claudio Lantieri ◽  
Luca Rapagnà ◽  
Nicola Dimola ◽  
...  
Keyword(s):  
Traffic Management ◽  
Management System ◽  
High Density ◽  
Traffic Management System ◽  
Rail Traffic

scholarly journals Automated optimal flight planning based on the aircraft intent description language

2018 ◽  
Vol 233 (3) ◽  
pp. 928-948
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Javier López-Leonés ◽  
Enrique Casado ◽  
Manuel Sanjurjo-Rivo
Keyword(s):  
Optimal Control ◽  
Traffic Management ◽  
Modular Design ◽  
Air Traffic Management ◽  
Generation Process ◽  
Trajectory Prediction ◽  
Description Language ◽  
Traffic Management System ◽  
Automated Tools

The future air traffic management system is to be built around the notion of trajectory-based operations. It will rely on automated tools related to trajectory prediction in order to define, share, revise, negotiate and update the trajectory of the aircraft before and during the flight, in some case, in near real time. This paper illustrates how existing standards on trajectory description such as the aircraft intent description language can be enhanced including optimisation capabilities based on numerical optimal control. The Aircraft Intent Description Language is a formal language that has been created in order to describe aircraft intent information in a rigorous, unambiguous and flexible manner. It has been implemented in a platform for a modular design of the trajectory generation process. A case study is presented to explore its effectiveness and identify the requirements and needs to generate optimised aircraft intents with higher automation and flexibility. Preliminary results show the suitability of numerical optimal control to design optimised aircraft intents based on the aircraft intent description language.

User Information Requirements for Intelligent Vehicle Highway Systems as a Function of Driver Category

1993 ◽  
Vol 37 (16) ◽  
pp. 1077-1081
Author(s):  
Linda Ng ◽  
Woodrow Barfield
Keyword(s):  
Commercial Vehicle ◽  
Route Guidance ◽  
Information Requirements ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Complex Information ◽  
Road Congestion ◽  
Vehicle System ◽  
Commercial Drivers ◽  
Data Estimation

Advanced Traveler Information Systems/Commercial Vehicle Operations (ATIS/CVO) are segments of IVHS currently being researched as a means of decreasing road congestion and increasing safety. Due to the complex information requirements for these systems, three surveys have been designed by University of Washington researchers and distributed nationwide to collect these requirements from the users: commercial drivers, dispatchers and private vehicle drivers This paper discusses the methodology used to design the surveys and the effort to ensure that a representative sample was included on a nationwide basis. Approximately 8,300 surveys were distributed in person and 10,000 dispatcher surveys were distributed in a newsletter. Data estimation procedures will include modeling the influence of an in-vehicle system for route guidance and determining the significant impacts of an ATIS/CVO in terms of age, gender, income, and other socioeconomic characteristics.

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