Driver Acceptance of Unreliable Route Guidance Information

1994 ◽  
Vol 38 (16) ◽  
pp. 1062-1066 ◽  
Author(s):  
Richard J. Hanowski ◽  
Susan C. Kantowitz ◽  
Barry H. Kantowitz
Keyword(s):  
Real Time ◽  
Heavy Traffic ◽  
Traffic Information ◽  
Route Guidance ◽  
Experimental Conditions ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Traffic Conditions ◽  
Driver Acceptance ◽  
Real Time Information

Human factors research can be used to design safe and efficient Advanced Traveler Information Systems (ATIS) that are easy to use (Kantowitz, Becker, & Barlow, 1993). This research used the Battelle Route Guidance Simulator (RGS) to examine two important issues related to driver behavior and acceptance of ATIS technology: (1) the effect of route familiarity on ATIS use and acceptance and (2) the level of information accuracy needed for an ATIS to be accepted and considered useful. The RGS included two 486 computers that provided drivers with real-time information and traffic reports. Drivers used a touch screen to select routes on one computer monitor and watched the results of their selection (i.e., real-time video of the traffic) on a second computer monitor. Drivers could use the system to obtain information about the traffic conditions on any link before traversing a route. In this experiment, subjects were exposed to four experimental conditions involving manipulation of the driver's familiarity with the route and the reliability of the traffic information obtained from the RGS (i.e., 100%, 71%, and 43% accuracy). The driver's goal was to reach the destination as quickly as possible by avoiding heavy traffic. The results indicated that drivers were able to benefit from system information when it was reliable, but not when it was unreliable. Trust ratings for the 43% accuracy group were significantly higher at the beginning of the four trials than at the end. Also, drivers were more apt to rely on the ATIS and accept information given in an unfamiliar traffic network versus a familiar one.

Dynamic Aspects of Commuter Decisions Under Advanced Traveler Information Systems: Modeling Framework and Experimental Results

1998 ◽  
Vol 1645 (1) ◽  
pp. 111-119 ◽  
Author(s):  
Yu-Hsin Liu ◽  
Hani S. Mahmassani
Keyword(s):  
Real Time ◽  
Switching Behavior ◽  
Traffic Information ◽  
Advanced Traveler Information Systems ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Real Time Traffic ◽  
Departure Time ◽  
Real Time Information ◽  
Time Information

Previous work on the effect of advanced traveler information systems was concerned primarily with immediate route choice decisions in response to real-time traffic information. Real-time traffic information also influences day-to-day decisions of trip makers, including departure time and route choices. Joint departure time decision and pretrip route selection are addressed, as well as en route path switching behavior by commuters under real-time information availability. Data were used from laboratory experiments using a dynamic interactive traveler simulator that allows actual commuters to simultaneously interact with each other within a simulated traffic corridor. Given real-time information provided by the system, commuters determine their departure time and route at the origin and select paths en route at various decision nodes along the trip. Day-to-day dynamic models of commuters’ joint departure time and route switching decisions are developed and calibrated by using a multinomial probit model framework that takes into account commuters’ learning from experience. The analysis provides insight into day-to-day effects of real-time traffic information on user decisions. Results indicate that the reliability of real-time information and supplied schedule delay (relative to the commuters’ preferred arrival time) are significant variables that influence users’ indifference band governing route switching behavior both pretrip and en route. These models are intended for use within evaluation frameworks (e.g., simulation-assignment models). In addition, the substantive insights provide guidelines for the design of real-time information content and systems.

Human Factors Studies to Investigate Driver Behavior under In-Vehicle Information Systems: An Interactive Microcomputer Simulation Approach

1994 ◽  
Vol 38 (9) ◽  
pp. 461-465 ◽  
Author(s):  
Jeffrey L. Adler ◽  
Michael J. Kalsher
Keyword(s):  
Information Systems ◽  
Human Factors ◽  
Real Time ◽  
Driver Behavior ◽  
Route Guidance ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Real Time Traffic ◽  
Travel Efficiency ◽  
Guidance Information

In-vehicle traveler information systems are being designed to provide drivers with real-time route guidance and/or traffic advisory information. It is expected that these Advanced Traveler Information Systems (ATIS) technologies will have a major impact on travel efficiency by assisting drivers to make better real-time route choices in response to changing network conditions. There is not yet full knowledge as to the impacts that route guidance and traffic advisory systems will have on driver behavior. This paper presents preliminary results from a human factors experiment to investigate the effects of traffic advisory and route guidance information on enroute behavior and travel performance. An interactive microcomputer simulation was used for data collection. The study suggests that both drivers' route choice efficiency and understanding of network conditions can be improved with access to real-time traffic advisory and route guidance information.

scholarly journals Sistem Pengamatan Kondisi Lalu Lintas Berbasis Data GPS pada Smartphone (Studi Kasus : Kota Denpasar)

2020 ◽  
Vol 7 (4) ◽  
pp. 667
Author(s):  
Gede Herdian Setiawan ◽  
I Ketut Dedy Suryawan
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Data Retrieval ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Observation Model ◽  
Economic Activities ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Real Time Traffic

<p>Pertumbuhan jumlah kendaraan yang semakin meningkat setiap tahunnya mengakibatkan volume kendaraan yang melintasi ruas jalan semakin padat yang kerap mengakibatkan kemacetan lalu lintas. Kemacetan lalu lintas dapat menjadi beban biaya yang signifikan terhadap kegiatan ekonomi masyarakat. Informasi lalu lintas yang dinamis seperti informasi kondisi lalu lintas secara langsung <em>(real time)</em> akan membantu mempengaruhi aktivitas masyarakat pengguna lalu lintas untuk melakukan perencanaan dan penjadwalan aktivitas yang lebih baik. Penelitian ini mengusulkan model pengamatan kondisi lalu lintas berbasis data GPS pada <em>smartphone</em>, untuk informasi kondisi lalu lintas secara langsung. GPS <em>Receiver</em> pada <em>smartphone</em> menghasilkan data lokasi secara instan dan bersifat mobile sehingga dapat digunakan untuk pengambilan data kecepatan kendaraan secara langsung. Kecepatan kendaraan diperoleh berdasarkan jarak perpindahan koordinat kendaraan dalam satuan detik selanjutnya di konversi menjadi satuan kecepatan (km/jam) kemudian data kecepatan kendaraan di proses menjadi informasi kondisi lalu lintas. Secara menyeluruh model pengamatan berfokus pada tiga tahapan, yaitu akuisisi data kecepatan kendaraan berbasis GPS pada <em>smartphone</em>, pengiriman data kecepatan dan visualisasi kondisi lalu lintas berbasis GIS. Pengujian dilakukan pada ruas jalan kota Denpasar telah mampu mendapatkan data kecepatan kendaraan dan mampu menunjukkan kondisi lalu lintas secara langsung dengan empat kategori keadaan lalu lintas yaitu garis berwarna hitam menunjukkan lalu lintas macet dengan kecepatan kendaraan kurang dari 17 km/jam, merah menunjukkan padat dengan kecepatan kendaraan 17 km/jam sampai 27 km/jam, kuning menunjukkan sedang dengan kecepatan kendaraan 26 km/jam sampai 40 km/jam dan hijau menunjukkan lancar dengan kecepatan kendaraan diatas 40 km/jam.</p><p> </p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The growth in the number of vehicles that is increasing every year has resulted in the volume of vehicles crossing the road increasingly congested which often results in traffic congestion. Traffic congestion can be a significant cost burden on economic activities. Dynamic traffic information such as information on real time traffic conditions will help influence the activities of the traffic user community to better plan and schedule activities. This study proposes a traffic condition observation model based on GPS data on smartphones, for information on real time traffic conditions. The GPS Receiver on the smartphone produces location and coordinate data instantly and is mobile so that it can be used for direct vehicle speed data retrieval. Vehicle speed is obtained based on the displacement distance of the vehicle's coordinates in units of seconds and then converted into units of speed (km / h), the vehicle speed data is then processed into information on traffic conditions. Overall, the observation model focuses on three stages, namely GPS-based vehicle speed data acquisition on smartphones, speed data delivery and visualization of GIS-based traffic conditions. Tests carried out on the Denpasar city road segment have been able to obtain vehicle speed data and are able to show traffic conditions directly with four categories of traffic conditions, namely black lines indicating traffic jammed with vehicle speeds of less than 17 km / h, red indicates heavy with speed vehicles 17 to 27 km / h, yellow indicates medium speed with vehicles 26 km/h to 40 km / h and green shows fluent with vehicle speeds above 40 km / h.</em></p><p><em><strong><br /></strong></em></p>

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.

Modeling Incident-Related Routing Decisions by Using a Nested Logit Structure

1998 ◽  
Vol 1645 (1) ◽  
pp. 103-110 ◽  
Author(s):  
Mohamed A. Abdel-Aty
Keyword(s):  
Logit Model ◽  
Urban Areas ◽  
Potential Benefit ◽  
Traffic Information ◽  
Nested Logit ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Real Time Traffic ◽  
Alternative Routes ◽  
Logit Modeling

Unusual congestion that could be caused by an incident or other traffic problems is a major source of delay for drivers in urban areas. Real-time traffic information, the building block for advanced traveler information systems (ATIS), has a promising potential for alleviating such congestion by encouraging and assisting drivers to divert to less congested routes. Traffic information is envisioned to help more informed routing decisions in case of incident-related congestion. Drivers’ routing decisions made when they are faced with such unusual congestion are investigated. The factors that influence these decisions are explored, including the effect of traffic information. A nested logit modeling structure is introduced. This model proved that the nested logit approach is superior than the simple multinomial logit in modeling the choice in cases of incident-related congestion. The model also showed that the decisions not to divert from the usual route and to divert but only around the location of the problem share unobserved terms. Familiarity and usual use of alternative routes did not affect the decision in the case of an incident. Drivers who use more than one route to work do not necessarily switch routes if they encounter unusual congestion. The nested logit model also proved the significance of traffic information, indicating a promising potential benefit of ATIS in alleviating nonrecurring congestion.

Analytical Modeling of Driver-Guidance Schemes with Flow Variability Considerations

2000 ◽  
Vol 1717 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Isam Kaysi ◽  
Nadine Hage Ali
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
User Equilibrium ◽  
Open Loop ◽  
Route Guidance ◽  
Traveler Information ◽  
Predictive Information ◽  
Flow Variability ◽  
Traveler Information Systems ◽  
Alternate Routes

The role that advanced traveler information systems (ATISs) are likely to play in alleviating traffic congestion is explored. The impacts of and benefits from traveler guidance systems that are based on instantaneous as well as predictive information are assessed by developing an analytical formulation for a simple prototypical network. Previous research introducing day-to-day flow variability with both compliance and market-penetration considerations is reviewed, and the case in which traffic flow varies within the day is developed. Two strategies for determining route-guidance directives are considered in the case of predictive information. Also, the integration of ATIS and traffic control through open-loop coordination measures is introduced, with the objective of finding the optimal signal control to maintain user equilibrium on alternate routes. The superiority of predictive information in maintaining guidance validity and mitigating the potential adverse impacts of information is demonstrated.

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.

Dynamic Model Research of Departure Time and Route Choice Based on Prospect Theory

2011 ◽  
Vol 243-249 ◽  
pp. 4418-4421
Author(s):  
Zhi Yong Yang ◽  
Gui Yun Yan
Keyword(s):  
Prospect Theory ◽  
Choice Model ◽  
Weighting Function ◽  
Route Choice ◽  
Traffic Information ◽  
Traveler Information ◽  
Travel Choice ◽  
Traveler Information Systems ◽  
Model Research ◽  
Departure Time

This paper takes commuters’ daily travel as research object to build model of travel choice which contains departure time and travel route based on Prospect Theory. Choosing the time of arriving destination as reference point, commuter will choose the time at which he/she can obtain the maximum value as departure time, then establishes choice model of departure time. Using Bayesian Theory to update and adjust route’s forecasting travel time in light of traffic information provided by Advanced Traveler Information Systems (ATIS) and travelers’ previous experience information. Gets decision weighting function after having analyzed traveler’s individual subjective probability which is about the possible result for route choice, then obtains the expression of travel route’s prospect value and gets route choice model. Finally, by designing a network to analyze the dynamic choice model, and achieves expected effect.

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