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| Mouftah, Hussein T. |
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| Dugay, Fabrice |
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| Rettenmeier, Max |
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| Tomasch, Ernst | Graz |
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| Cornaggia, Greta |
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| Palacios-Navarro, Guillermo |
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| Uspenskyi, Borys V. |
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| Khan, Baseem |
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| Fediai, Natalia |
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| Derakhshan, Shadi |
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| Somers, Bart | Eindhoven |
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| Anvari, B. |
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| Kraushaar, Sabine | Vienna |
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| Kehlbacher, Ariane |
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| Das, Raj |
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| Werbińska-Wojciechowska, Sylwia |
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| Brillinger, Markus |
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| Eskandari, Aref |
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| Gulliver, J. |
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| Loft, Shayne |
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| Kud, Bartosz |
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| Matijošius, Jonas | Vilnius |
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| Piontek, Dennis |
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| Kene, Raymond O. |
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| Barbosa, Juliana |
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Roussou, Julia
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2025Vulnerable Road Users and Vehicles Safety Recommendations to enhance Road Safety in LMICs
- 2024Infrastructure and Road Tunnels Safety Recommendations to enhance Road Safety in LMICs
- 2024Management Policies and Data Collection Recommendations to enhance Road Safety in LMICs
- 2024Behaviour and Speed Safety Recommendations to enhance Road Safety in LMICs
- 2023Comparing Machine Learning Techniques for Predictions of Motorway Segment Crash Risk Levelcitations
- 2023PIARC Global Road Safety Knowledge Exchange
- 2023The LEVITATE Policy Support Tool of Connected and Automated Transport Systemscitations
- 2023The impacts of automated urban delivery and consolidation
- 2021Towards automated urban delivery
- 2021The short-term impacts of cooperative, connected, and automated mobility on passenger transport, Deliverable D6.2 of the H2020 project LEVITATE
Places of action
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report
The short-term impacts of cooperative, connected, and automated mobility on passenger transport, Deliverable D6.2 of the H2020 project LEVITATE
Abstract
The aim of the LEVITATE project is to prepare a new impact assessment framework to enable policymakers to manage the introduction of cooperative, connected, and automated transport systems, maximise the benefits and utilise the technologies to achieve societal objectives. As part of this work, the LEVITATE project seeks to forecast societal level impacts of cooperative, connected, and automated mobility (CCAM).The aim of this report is to provide an analysis of the short-term impacts, described in Deliverable 3.1 (Elvik et al.,2019), of different passenger car transport sub-use cases (policy interventions). The short-term impacts analysed include travel time, vehicle operating cost, and access to travel. Based on several discussions with the stakeholder reference group (SRG) including city officials and industry professionals, a list of key interventions, termed sub-use cases (SUCs), were selected to be tested through different applicable methods. These include road use pricing (rup), provision of dedicated lanes on urban highways, parking price policies, parking space regulations, automated ride sharing, and green light optimal speed advisory (GLOSA). For assessing the travel time impact, mesoscopic and microscopic simulation as well as Delphi method have been used. The Delphi method was also used to estimate impacts on vehicle operating cost and access to travel. Road Use Pricing was modelled through mesoscopic simulation using the full-scale city-level model of Vienna. All other sub-use cases were analysed through microscopic simulation method using Manchester network for Dedicated Lanes, Automated Ride Sharing and GLOSA, Leicester network for Parking Space Regulations, and Santander model for testing Parking Price Policies.CAVs deployment was tested from 0 to 100% with 20% increments under all applicable sub-use cases. The behaviours of CAVs were defined based on an extensive literature review performed as part of the LEVITATE project. Two types of connected and automated vehicles (CAV) were included in the ...
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