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Journal ArticleDOI

Route choice and advanced traveler information systems on a capacitated and dynamic network

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TLDR
It is proved, for a simple parallel network, that increasing the market penetration of accurate information cannot harm network performance, and it is asserted that the existence, or non-existence, of an optimal market penetration is moot.
Abstract
Much of the push behind Intelligent Transportation Systems (ITS) has come from the hope that providing travelers with better information will result in reduced travel time and traffic congestion. Phase 1 of the United States' IVHS National System Architecture project, for instance, made ATIS (Advanced Traveler Information Systems) the centerpiece of its benefits evaluation, and ATIS has been the subject of numerous traffic simulation studies. The objective of this paper is to examine the ‘informational’ assumptions embedded in traffic simulations, and to assess how these assumptions affect simulation results. Most importantly, this paper examines the hypothesis that increasing market penetration can lead to a decrement in network performance. The paper proves, for a simple parallel network, that increasing the market penetration of accurate information cannot harm network performance. For this same network, the paper shows that increasing the penetration of instantaneous travel time estimates might degrade network performance. The paper also asserts that the existence, or non-existence, of an optimal market penetration is moot. The suggestion is that ATIS should not be viewed as a strategy for achieving system optimal traffic distributions. ATIS should instead be viewed first as a service to the public, to improve their confidence and comfort in using the system, and second as a means for steering traffic away from dis-equilibrium behavior and toward user optima that utilize alternate routes where feasible.

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Citations
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Dissertation

Network knowledge and route choice

TL;DR: Ben-Akiva et al. as discussed by the authors presented evidence that a majority of travelers fail to minimize travel time or distance, and showed that travelers with more network knowledge appear to vary their commute route to respond to changing travel conditions.
Journal ArticleDOI

System-Optimal Routing of Traffic Flows with User Constraints in Networks with Congestion

TL;DR: The essence of this study is that system-optimal routing of traffic flow with explicit integration of user constraints leads to a better performance than the user equilibrium, while simultaneously guaranteeing superior fairness compared to the pure system optimum.
Journal ArticleDOI

Toward the design of intelligent traveler information systems

TL;DR: A vision of the next generation traveler information system is presented, termed Intelligent Traveler Information Systems (ITIS), in which artificial intelligence techniques are drawn upon to create systems capable of providing travelers with more personalized planning assistance.
Posted Content

Experiments and Simulations on Day-to-Day Route Choice-Behaviour

TL;DR: In this article, the authors report laboratory experiments on a day-to-day route choice game with two routes, where subjects had to choose between a main road M and a side road S.
Journal ArticleDOI

Decision dynamics in a traffic scenario

TL;DR: The influence of dynamic information on the stability of traffic patterns is investigated using a very simple route choice scenario and it is found that the overall performance of the system is reduced, although the information should help to distribute traffic more efficiently.
References
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Journal ArticleDOI

System performance and user response under real-time information in a congested traffic corridor

TL;DR: A modelling framework that consists of a special-purpose simulation component and a user decisions component that determines users' responses to the supplied information is developed to analyze the effect of in-vehicle real time information strategies on the performance of a congested traffic communing corridor.
Journal ArticleDOI

Does providing information to drivers reduce traffic congestion

TL;DR: The presumption that route guidance and information systems necessarily reduce traffic congestion is questioned, and the need to consider the general equilibrium effects of information is pointed out.
Journal ArticleDOI

Dynamic integrated freeway/traffic signal networks: A routing-based modelling approach

TL;DR: A new modelling approach, called INTEGRATION, is presented, which has been designed specifically to evaluate such integrated networks and their controls, and considers the behavior of traffic flows in terms of individual vehicles that have self-assignment capabilities.
Journal ArticleDOI

Non-recurrent congestion: How big is the problem? Are traveler information systems the solution?

TL;DR: In this paper, the issue of incident delay is examined from the alternative perspective of "effective capacity" (which will be equivalent to the expected capacity over time), when evaluated from this view, strategies aimed at alleviating peak-period, incident-caused congestion (such as Incident Management, IM, and Advanced-Traveler-Information-Systems, ATIS) have only a marginal long-term effect on the average delay of congested highways.
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