Travelers' preferences for in-vehicle information systems: An exploratory analysis (original) (raw)

Statistical analysis of commercial driver and dispatcher requirements for advanced traveler information systems

Transportation Research Part C: Emerging Technologies, 1995

This paper analyzes the responses from two nationwide surveys designed to obtain user information requirements for the design of advanced traveler information systems (ATIS) and commercial vehicle operations (CVO) with respect to commercial system operators (dispatchers) and commercial vehicle drivers. A total of 673 returned surveys (348 dispatcher surveys and 325 commercial driver surveys), were used in the analysis. Mathematical models were developed, using a binomial logit to predict whether the commercial driver or dispatcher would use an intelligent transportation system, and an ordered probit to estimate the importance of information (i.e. route and navigation, roadside services, personal communication and road and traffic information) to be provided by in-vehicle information systems. The results of this study provide guidelines for the design of information systems and help define informational requirements for users of ATIS/CVO.

Users’ Perception And Reported Effects Of Long-term Access To In-Vehicle Traffic Information Services Mediated Through Nomadic Devices

Transport and Telecommunication Journal, 2015

ICT-mediated traffic information has been argued to contribute to a more sustainable transport system through affecting drivers. Nevertheless, long-term effects of travellers having access to nomadic in-vehicle systems for traveller information are not well known. This study presents the results from a multi-national large-scale field operational test (FOT). The results show that the users in general were positive to the tested systems and that there were several effects on their driving behaviour but in many cases the effects were limited. Moreover the effects varied between system types. Positive effects were related to comfort, as well as individual and system efficiency. One could also notice that perceived effects were not as high as the participants had expected, leading to some disappointment. Most of the times this was due to the tested systems functioning in a less than optimal way.

In-Vehicle Information System Used in Complex and Low Traffic Situations: Impact on Driving Performance and Attitude

Lecture Notes in Computer Science

This paper describes a study where drivers' responses to an invehicle information system were tested in high and low density traffic. There were 17 participants in a study that was run using a driving simulator. Data was gathered for a comparison of how drivers react to an in-vehicle information system in low density traffic, complex traffic, and without system. Participants were also asked for their subjective evaluation of trust of the system and how they perceived it influenced their driving performance. Results show gender differences for both driving performance and attitude.

Dynamic travel information strategies in advance traveler information systems and their effect on route choices along highways

Procedia Computer Science, 2020

Advance Traveler Information Systems (ATIS) inform drivers about traffic incidences and expected travel times/ delays en-route. An online computer study was conducted in Qatar to investigate drivers' willingness to divert to an alternative route given changes in expected travel conditions. Respondents' route choices were queried after exposure for 6 seconds to varying display strategies. The results from a binary logistic regression and a stated preference survey showed that delay times and displayed colors on a Graphical Route Information Panel (GRIP) effectively influence drivers to take the alternative route, while total travel times were preferred for Variable Message Signs (VMS).

Toward a Consumer Demand-Driven Intelligent Transportation System Policy: Findings from Southern California

Transportation Research Record, 1999

suited to deployment of ITSs. The purpose behind ITSs is to use various technologies (e.g., information processing, communications, control, and electronics) to aid in and improve the management of increasingly complex transportation systems. Ultimately, the goal behind ITSs is to improve mobility while realizing important social and economic advances: increased safety, air quality, and productivity (2,3). CGURI research suggests an increasingly ITS-friendly environment characterized by supportive public policies. These policies are sustained by marked funding allocations such as the recently enacted Transportation Equity Act for the 21st Century (TEA-21). TEA-21 will provide $1.28 billion for ITS programs from 1998 to 2003 (4). In addition, private-sector involvement has increased, illustrated by the numerous products showcased during the 1998 ITS America Conference. More than 150 companies exhibited ITS-related wares at the Eighth Annual Meeting in Detroit, Michigan (5). Despite public and private participation and support, researchers and policy experts alike acknowledge that consumer acceptance remains key to the eventual realization of the ITS vision. Full deployment is possible only to the extent that consumers are willing to purchase and use devices critical to successful system functioning. Yet, such acceptance remains a largely uncertain factor (6-8). Accordingly, one component of CGURI research has been to explore consumer attitudes toward ITSs as both a public policy issue and consumer choice. To explore such attitudes, a survey of the general public in Southern California was conducted during the fall of 1997. Two components of the larger ITS landscape provided survey substantive focus: advanced traveler information systems (ATISs) and vehicle control safety systems (also referred to as safety devices). ATIS items included (a) real-time traffic information via television or radio, (b) real-time traffic information via telephone, (c) real-time traffic information via personal computer, (d) dynamic in-car navigation systems, and (e) information about public transit services. Safety devices were represented by (a) Mayday devices, (b) collision warning systems, (c) in-car security, and (d) antidrowsiness devices (also referred to as lane-departure warning devices). SURVEY GOALS In broad terms the survey objective was to assess consumer perspectives and attitudes toward a variety of ITS-related issues and topics. Specific goals included (a) provision of descriptive information of current travel behavior and traffic information usage among Southern California residents, (b) gauging of current attitudes toward ATISs and safety devices, and (c) exploration of attitudes toward ITS-related transportation policies. As part of a 3-year research initiative, Claremont Graduate University Research Institute researchers developed a survey to assess public attitudes toward intelligent transportation systems (ITSs) as both a consumer choice and a public policy issue. The substantive focus included advanced traveler information systems (ATISs) and vehicle safety products (safety devices). Specific survey goals included (a) a description of travel behavior and traffic information use, (b) gauging of attitudes toward ATISs and safety devices, and (c) an exploration of attitudes toward ITS-related public policies. The questionnaire was administered via a computeraided telephone interview to a sample of randomly selected Southern California residents during the fall of 1997. Results from analysis of the 610 responses suggest that although many travelers currently obtain traffic information, most do not seem to use this information in any proactive sense to avoid congestion. Once congestion is encountered, participants in general simply await its abatement. Respondents portrayed interest in ATIS products but overall were more intrigued by safety devices. Travelers with long commutes expressed both the least satisfaction with current traffic information and the strongest interest in ATISs. Overall, women displayed greater interest in ITSs than men and younger respondents revealed more interest than their older counterparts. Results from public policy questions indicate support for ITSs and an inclination to support tax allocations for its development. However, almost half of the survey participants also expressed concern over the potential negative individual privacy implications of ITS deployment.

Modeling the dynamic effect of information on drivers' choice behavior in the context of an Advanced Traveler Information System

Transportation Research Part C: Emerging Technologies, 2017

In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS). The proposed model uses the Possibility Theory to model Uncertainty embedded in human perception of information. We have introduced a time-dependent Possibility Distribution of Information to model the users' changing perception of travel time also based on current network conditions. Drivers' choice models are often developed and calibrated by using Stated Preference (SP) surveys, amongst others. In this work, we present an experiment to set up an SP-tool based on a driving simulator developed at the Polytechnic University of Bari. The results obtained by the proposed model are analyzed and compared with the driver dynamic behavior observed in the experiment.

Determinants of Route Choice and Value of Traveler Information: A Field Experiment

Transportation Research Record: Journal of the Transportation Research Board, 2008

make better travel-related decisions. ATMS in general takes advantage of the information by operating traffic control devices such as traffic lights, ramp meters, and incident management. ATMS sometimes also refers to advanced transportation management systems or automated transportation management systems. In those cases, it usually encompasses both ATIS and ATMS in the narrower sense.

A survey-based methodology to determine information requirements for advanced traveler information systems

Transportation Research Part C: Emerging Technologies, 1995

This paper discusses three nationwide surveys designed to obtain user information requirements for an advanced traveler information system (ATIS) and the ATIS portion of commercial vehicle operations (CVO). A description of the survey methodology for targeting the three populations---private vehicle drivers, commercial vehicle drivers, and commercial vehicle operators---is provided, as well as the implications for the design of ATIS based on driving behavior and preference. Analysis of the data from the 1,610 returned surveys revealed that commercial drivers and private drivers valued road and traffic information as the most important ATIS service, whereas commercial vehicle operators (or dispatchers) valued the ability to have two-way communication as most important. This study also revealed that dispatchers were willing to pay significantly more for an ATIS than drivers. Finally, the data indicated that, of the four main nationwide geographical areas considered in the survey, no differences in response to the survey questions were observed. Implications of the results for the design of ATIS are discussed.

In-laboratory experiments to investigate driver behavior under advanced traveler information systems

Transportation Research Part C-emerging Technologies, 1994

In-laboratory experimentation with interactive microcomputer simulation is a useful tool for studying the dynamics of driver behavior in response to advanced traveler information systems. Limited reaI-world implementation of these information systems has made it difficult to observe and study how drivers seek, acquire, process, and respond to real-time information. This paper describes the design and preliminary testing of an interactive microcomputer-based animated simulator, developed at the University of California, Irvine, to model pre-trip and enroute driver travel choices in the presence of advanced traveler information systems. The advantages of this simulator are realized in its versatility to model driver decision processing while presenting a realistic representation of the travel choice domain. Results from a case study revealed that increased driver familiarity with travel conditions and network layout reduces driver reliance on information systems and influences drivers diversion behavior.