Traffic Information Interface Development in Route Choice Decision
نویسندگان
چکیده
منابع مشابه
Route choice decision under uncertainty
We study route choice behavior when travel time is uncertain. In this case, users do not minimize expected travel time but also take into account travel time variability. We collected survey data and analyze them with a method based on the ordered probit model. This allows us to have an ordinal as well as cardinal measures of risk aversion. Such an approach is therefore consistent with expected...
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Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process per...
متن کاملA Process Model for Route Choice in Risky Traffic Networks
The accurate modeling of travelers’ route choice decision making when faced with unreliable (risky) travel times is necessary for the assessment of policies aimed at improving travel time reliability. Compared with econometric models, process models have not been investigated in travel decision making under risk. A process model aims to describe the actual decision making procedure and could po...
متن کامل1 Development of a Traffic Information System Driver Interface
Based on ideas from the literature and the project team, several reasonable interface options were prototyped using SuperCard (on a Macintosh computer). Some designs were eliminated after initial prototype attempts because critical details were not legible. Others were developed further and evaluated using human factors computational methods (GOMS, Tullis Display Analysis Program) and quick usa...
متن کاملReinforcement learning for route choice in an abstract traffic scenario
Traffic movement in a commuting scenario is a phenomena that results from individual and uncoordinated route choice by drivers. Every driver wishes to achieve reasonable travel times from his origin to his destination and, from a global point of view, it is desirable that the load gets distributed proportionally to the roads capacity on the network. This work presents a reinforcement learning a...
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ژورنال
عنوان ژورنال: Transport and Telecommunication Journal
سال: 2014
ISSN: 1407-6179,1407-6160
DOI: 10.2478/ttj-2014-0008