Investigation of the costs, benefits and funding models for two bundles of cooperative intelligent transport system services

Ognissanto, Flora; Hopkin, J M; Stevens, Alan

doi:10.1049/iet-its.2018.5399

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…In addition, discrete scenarios are used, while the adoption of C-ITS is subject to continuous stochastic variables. Other authors that have described the C-ITS business case, such as [17,18], determine the benefit part based on cellular communication. This means that the benefits calculations use the percentage of vehicles with access to a smartphone and the cellular coverage in the country.…”

Section: Adoption Of C-itsmentioning

confidence: 99%

Hedging risks in the C‐ITS road‐side unit investment case for Flanders: A real options approach

Degrande

Colle

Verbrugge

2023

IET Intelligent Trans Sys

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Cooperative intelligent transport systems (C‐ITS) deployments for vehicle‐to‐infrastructure communication require substantial investments from European Member States in road‐side units (RSUs) and in central traffic management systems. The promise of numerous societal benefits should justify these public investments. However, C‐ITS uptake in passenger cars, and thus the subsequent societal benefits, are highly uncertain. Therefore, here, a case study of Flanders is presented in which real option analysis) is used to help road authorities assess the RSU investment opportunity. The framework combines a detailed cost and benefit model and includes managerial options for the road authority. This technique aims to incorporate the value of the flexibility that is available during the deployment to reduce risk exposure, and as such more accurately appraise the investment. C‐ITS uptake in passenger cars was modelled as the major source of uncertainty, as it is the primary driver of societal benefits. While a static RSU investment analysis for Flanders, Belgium, was found to be negative, embedding the option to defer the investment decision to further study C‐ITS uptake results in a positive average net present value. The results are useful for any road authority aspiring to roll out C‐ITS road‐side infrastructure.

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Section: Adoption Of C-itsmentioning

confidence: 99%

Hedging risks in the C‐ITS road‐side unit investment case for Flanders: A real options approach

Degrande

Colle

Verbrugge

2023

IET Intelligent Trans Sys

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“…These cost and business aspects need to be studied carefully to overcome the crossborder challenges. While several research papers can be found in literature regarding cost aspects from different angles e.g., socio-economic [8], cost-benefit analysis [9], business models for CCAM provision especially in cross-border environment are rarely investigated. Authors in [10] classified several papers based on various aspects, like communication, legislation, security and business.…”

Section: A State Of the Artmentioning

confidence: 99%

Techno-economic and Simulation Study of a V2I-based Cooperative Manoeuvring Case in a Cross-border Scenario

Harbi¹,

Poli

Denis

et al. 2021

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

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In this paper, we present a techno-economic analysis of a Cooperative, Connected and Automated Mobility (CCAM) use case in a specific cross-border environment, namely Cooperative Lane Merging (CLM). The latter is assumed to rely on Vehicle-to-Infrastructure (V2I) connectivity with respect to a set of inter-connected Road Side Units (RSUs). In order to feed the techno-economic framework with the required data in terms of road infrastructure, extensive system-level simulations have been performed using a connectivity oriented key performance indicator (KPI), while considering three different deployment scenarios and realistic road traffic densities. The proposed model identifies the minimum additional RSUs required to satisfy the CLM KPI with respect to the number of simultaneous connected cars. First results show the beneficial impact from densifying the road network infrastructure on the CLM service availability, especially under the highest road traffic conditions. In terms of Total Cost of Ownership (TCO), cost results of a set of scenarios considering the variation of both the number of connected cars and the RSUs to be deployed are discussed as well.

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“…In contrast, European studies on C-ITS appear not to take into account, for instance, the overlap with existing ITS infrastructure for C-ITS V2I services. An exception is the work performed in the COBRA project [17,18,19,20], but the correction 90 for existing infrastructure is also done in a top-down fashion. Finally, positive benefit-cost ratios are reported in [4,16], though they include personal devices and V2V services.…”

mentioning

confidence: 99%

Deployment of Cooperative Intelligent Transport System infrastructure along highways: A bottom-up societal benefit analysis for Flanders

et al. 2023

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Investigation of the costs, benefits and funding models for two bundles of cooperative intelligent transport system services

Cited by 6 publications

References 3 publications

Hedging risks in the C‐ITS road‐side unit investment case for Flanders: A real options approach

Hedging risks in the C‐ITS road‐side unit investment case for Flanders: A real options approach

Techno-economic and Simulation Study of a V2I-based Cooperative Manoeuvring Case in a Cross-border Scenario

Deployment of Cooperative Intelligent Transport System infrastructure along highways: A bottom-up societal benefit analysis for Flanders

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