2013
DOI: 10.1016/j.trc.2012.09.001
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Design and evaluation of token-based reservation for a roadway system

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Cited by 35 publications
(17 citation statements)
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“…A good overview of the various approaches for lane reservation can be found in Fang et al [15], who particularly designed a reservation strategy to minimize the impact on the non-reserved traffic. In a similar work Liu et al [16] used the concept of tokens while an intelligent reservation agent was proposed for management of the reservations and tokens.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A good overview of the various approaches for lane reservation can be found in Fang et al [15], who particularly designed a reservation strategy to minimize the impact on the non-reserved traffic. In a similar work Liu et al [16] used the concept of tokens while an intelligent reservation agent was proposed for management of the reservations and tokens.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The importance of coordination algorithms for signalless traffic intersections has not gone unnoticed. In particular, there is a large and growing body of literature based on multi-agent simulations [5], [13]- [17], genetic algorithms [18], tokenbased approaches [19], [20], auction-based approaches [21], and discrete-time occupancy theory [22]. A comprehensive recent summary and comparison of some of these approaches are provided by Dai et al [23].…”
Section: Introductionmentioning
confidence: 99%
“…With the latest advances in communications, computing, electronics, sensing, and control, etc., a variety of innovative applications are envisioned in the near future, such as collision avoidance systems [Gehrig and Stein 2007], roadway reservation systems [Liu et al 2013b], and autonomous intersection management systems [Lee and Park 2012], to name but a few. Obviously, efficient data dissemination in terms of providing timely and fresh information services is one of the fundamental requirements to enable these applications.…”
Section: Introductionmentioning
confidence: 99%