Predicting Driver Behavior using Advanced Traveler Information Systems

1994 ◽  
Vol 38 (16) ◽  
pp. 1057-1061
Author(s):  
William A. Wheeler ◽  
John D. Lee ◽  
Mireille Raby ◽  
Rhonda A. Kinghorn ◽  
Alvah C. Bittner ◽  
...  
Keyword(s):  
Information Systems ◽  
System Design ◽  
Driver Behavior ◽  
Intelligent Vehicle ◽  
Navigation Systems ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Driver Performance ◽  
Highway System

As a part of the Intelligent Vehicle Highway System (IVHS), Advanced Traveler Information Systems (ATIS) will offer tomorrow's drivers significantly expanded capabilities for getting where they want to go safely and efficiently. Vehicle-based navigation systems combined with information on highway conditions and services have the potential for improving driver performance. Though ATIS may offer considerable advantages, the system design must be consistent with the primary tasks of controlling and operating the vehicle. This paper describes an attempt to identify the likely interaction between what a driver must do to operate the vehicle safely while at the same time using the various ATIS systems. As such, it is an attempt to visualize what driving with these advanced systems will be like and to translate that vision into standard human factors task analytic techniques. Though a broad range of ATIS systems and functions were addressed in this project, this paper will address the macro-level task analyses that resulted from the examination of 165 tasks related to ATIS use.

Design Guidelines for Advanced Traveler Information Systems (ATIS): The User Requirements Analysis

1997 ◽  
Vol 41 (2) ◽  
pp. 954-958 ◽  
Author(s):  
John L. Campbell ◽  
Cher Carney ◽  
Barry H. Kantowitz
Keyword(s):  
Information Systems ◽  
Human Factors ◽  
Past Research ◽  
Requirements Analysis ◽  
Design Guidelines ◽  
User Requirements ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Considerable Uncertainty ◽  
Traveler Information Systems

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.

Modeling Revealed and Stated Pretrip Travel Response to Advanced Traveler Information Systems

1996 ◽  
Vol 1537 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Asad Khattak ◽  
Amalia Polydoropoulou ◽  
Moshe Ben-Akiva
Keyword(s):  
Information Systems ◽  
Stated Preference ◽  
Mode Selection ◽  
Management Strategies ◽  
Strong Relationship ◽  
Stated Preferences ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Travel Decisions

Advanced traveler information systems (ATISs) offer benefits to travelers and may improve transportation system performance in congested areas. An understanding of how information affects travelers' decisions can help in evaluating benefits and designing demand management strategies. The objective of the present study was to explore how people deal with unexpected congestion during the pretrip stage and how they might respond to ATISs. Travelers' routes, departure times, and mode selection decisions were investigated through a survey of Bay Area automobile commuters. The effects of various factors such as sources of congestion information (radio traffic reports versus observation), trip characteristics, and route attributes on travelers' responses to unexpected congestion were examined. The pretrip response to future ATIS technologies was explored through stated preferences (hypothetical scenarios). A combined reported preference and stated preference model of traveler response was developed by using the multinomial logit formulation. The estimations indicate that travel time and information are important determinants of changes in travel decisions in response to unexpected delays. The model indicates a strong relationship between reported and stated preferences. The results indicate that ATISs overcome behavioral inertia and that individuals are more likely to change their travel patterns in response to prescriptive information. More specific findings and their implications for ATIS design are also discussed.

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