Road traffic coordination by electronic trading

Iwanowski, Sebastian; Spering, Wolfgang; Coughlin, William J.

doi:10.1016/s0968-090x(03)00033-0

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…In a digital environment, the bidders do not need to be the users themselves; their preferences can be represented by an automated bidding logic, and thus several hundreds of auction iterations can be performed virtually within reasonable computing time (Iwanowski et al. 2003 ).…”

Section: Practical Demand Management Methodsmentioning

confidence: 99%

Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis

2021

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Dense urban areas are especially hardly hit by the Covid-19 crisis due to the limited availability of public transport, one of the most efficient means of mass mobility. In light of the Covid-19 pandemic, public transport operators are experiencing steep declines in demand and fare revenues due to the perceived risk of infection within vehicles and other facilities. The purpose of this paper is to explore the possibilities of implementing social distancing in public transport in line with epidemiological advice. Social distancing requires effective demand management to keep vehicle occupancy rates under a predefined threshold, both spatially and temporally. We review the literature of five demand management methods enabled by new information and ticketing technologies: (i) inflow control with queueing, (ii) time and space dependent pricing, (iii) capacity reservation with advance booking, (iv) slot auctioning, and (v) tradeable travel permit schemes. Thus the paper collects the relevant literature into a single point of reference, and provides interpretation from the viewpoint of practical applicability during and after the pandemic.

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Section: Practical Demand Management Methodsmentioning

confidence: 99%

Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis

2021

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“…Applications in engineering include communication networks [40], social networks [41], transportation routing [42], online advertising [43], smart grid [44], multi-agent systems [45], and resource allocation problems [46]. Due to the economic nature of congestion in transportation, auctioning has been also proposed [47] to create a market of tolls in a network of roads. Auctions are processes for allocating goods among bidders, so the challenge of auction design can only be understood by studying the demands of the participants [48].…”

Section: Step 1: Socially-optimal Management Of Travel Demandmentioning

confidence: 99%

“…Auction design has been the focus of significant results on multiobject auctions and matching market problems [49,50]. On one hand, auctions have been proposed to design pricing schemes with tolls in a network of roads leading to a spark of studies in auctioning techniques [47,[51][52][53][54]. On the other hand, this approach has important limitations: (1) the implementability of auction-based tolling on highways is not straightforward due to the dynamic and fast-changing nature of transportation systems; (2) it is also uncertain how the public, e.g., travelers, passengers, drivers, will respond concerning toll roads in an auction setting.…”

Section: Step 1: Socially-optimal Management Of Travel Demandmentioning

confidence: 99%

A Control Framework for Socially-Optimal Emerging Mobility Systems

Malikopoulos¹

2023

Preprint

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In this manuscript, we provide an online learning framework that will aim at distributing travel demand in a given transportation network resulting in a socially-optimal mobility system that travelers would be willing to accept. It is expected that connected and automated vehicles (CAVs) will gradually penetrate the market in ways that will improve safety and transportation efficiency over the next several years. However, we anticipate that efficient transportation and travel cost reduction might alter human travel behavior causing rebound effects, e.g., by improving effi-ciency, travel cost is decreased, hence willingness-to-travel is increased. The latter would increase overall vehicle miles traveled, which in turn might negate the benefits in terms of energy and travel time. Our aim is to develop a holistic and rigorous framework to capture the societal impact of CAVs and provide solutions that mitigate any potential rebound effects, e.g., increased vehicle miles traveled, increased travel demand, empty vehicle trips, while enhancing accessibility, safety, and equity in transportation.

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“…In order for an auction mechanism to reach efficient capacity allocation, an iterative process has to be implemented, primarily to allow the winning bids to approach the optimal market price, and leave sufficient consumer surplus with travellers. In a digital environment, the bidders do not need to be the users themselves; their preferences can be represented by an automated bidding logic, and thus several hundreds of auction iterations can be performed virtually within reasonable computing time (Iwanowski et al 2003).…”

Section: Advanced Quantity Control Techniquesmentioning

confidence: 99%