An optimal global algorithm for route guidance in advanced traveler information systems

Author(s):  
Bokui Chen ◽  
Zhongjun Ding ◽  
Yao Wu ◽  
Jun Zhou ◽  
Yongquan Chen
Author(s):  
Ramachandran Balakrishna ◽  
Haris N. Koutsopoulos ◽  
Moshe Ben-Akiva ◽  
Bruno M. Fernandez Ruiz ◽  
Manish Mehta

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.


Author(s):  
John L. Campbell ◽  
Cher Carney ◽  
Barry H. Kantowitz

Past research has established that human factors guidelines following traditional formats for presenting information are not useful and are often ignored by designers. Within the human factors community, there is considerable uncertainty and concern regarding the nature and utility of human factors handbooks and guidelines materials. Indeed, many existing human factors reference materials have been criticized by designers for being “too wordy”, “too general,” and “too hard to understand.” The development of clear, relevant, and useful human factors guidelines requires a judicious mix of science and art to overcome such criticisms. This paper describes an on going effort to develop clear, relevant, and easy-to-use guidelines for the design of Advanced Traveler Information Systems (ATIS) and Commercial Vehicle Operations (CVO). It focuses on the methods and results of a user requirements analysis conducted to identify the appropriate content, organization, and format of the ATIS/CVO guidelines.


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