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Olstam, J., Johansson, F., Liu, C. & Pereira, I. (2020). An approach for systematic assessment of infrastructure automation readiness from a traffic performance perspective. In: Proceedings of 8th Transport Research Arena TRA 2020: . Paper presented at 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland. (Conference canceled) (pp. 10).
Open this publication in new window or tab >>An approach for systematic assessment of infrastructure automation readiness from a traffic performance perspective
2020 (English)In: Proceedings of 8th Transport Research Arena TRA 2020, 2020, p. 10-Conference paper, Published paper (Refereed)
Abstract [en]

Road authorities need tools to assess potential impacts on traffic performance due to the introduction of automated vehicles. Extended traffic modelling tools offer possibilities to estimate impacts on traffic performance metrics such as travel time, delay and capacity. However, there are large uncertainties related to the future behavior of automated vehicles, and these need to be carefully handled. The aim of this paper is to present a systematic and sound approach that can be used by road authorities to assess the automation readiness of a specific infrastructure. We present a definition of automation readiness from a traffic performance point of view, and an approach for how to estimate the automation readiness for a specific road design taking the uncertainties in the development of automated vehicles into account. The developed approach is applied to both macroscopic and microscopic use cases, demonstrating the applicability of the approach for automation readiness assessment.

Keywords
Autonomous vehicle, Traffic, Simulation, Mathematical model, Forecast, Variability
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic; 20 Road: Traffic engineering, 25 Road: Traffic theory
Identifiers
urn:nbn:se:vti:diva-15037 (URN)
Conference
8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland. (Conference canceled)
Available from: 2020-03-06 Created: 2020-03-06 Last updated: 2020-04-29Bibliographically approved
Gyergyay, B., Gomari, S., Friedrich, M., Sonnleitner, J., Olstam, J. & Johansson, F. (2019). Automation-ready framework for urban transport and road infrastructure planning. In: Transportation Research Procedia: . Paper presented at International Scientific Conference on Mobility and Transport Urban Mobility ? Shaping the Future Together mobil.TUM 2018; Munich; Germany; 13 June 2018 through 14 June 2018 (pp. 88-97). , 41
Open this publication in new window or tab >>Automation-ready framework for urban transport and road infrastructure planning
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2019 (English)In: Transportation Research Procedia, 2019, Vol. 41, p. 88-97Conference paper, Published paper (Refereed)
Abstract [en]

"Automation-ready" is currently defined in the H2020 CoEXist project as the capability to conduct transport and infrastructure planning with the incorporation of connected and automated vehicles (CAV) in the same comprehensive manner as for existing modes in future plans, where they complement and coexist with conventional vehicles, public transport, pedestrians and cyclists, to achieve and support higher sustainable mobility goals. This definition will be fine-tuned through stakeholder engagement processes. The H2020 CoEXist project started in May 2017 and will run until April 2020. This paper introduces this project and covers its progress until January 2018, with a focus on the methodology of the "Automation-ready framework" that provides a planning framework for urban road authorities to prepare for the introduction of CAVs on the road network. The two Stuttgart use cases (among the eight use cases in CoEXist) are also elaborated in this paper. The framework includes elements about strategic urban mobility planning for CAVs and a clear guide for urban transport planners with a list of concrete actions that cities can do now to plan for CAVs on their road network

Keywords
Autonomous driving, Analysis (math), Urban area, Transport infrastructure, Traffic
National Category
Infrastructure Engineering
Research subject
20 Road: Traffic engineering, 25 Road: Traffic theory
Identifiers
urn:nbn:se:vti:diva-13452 (URN)10.1016/j.trpro.2019.09.018 (DOI)2-s2.0-85080956800 (Scopus ID)
Conference
International Scientific Conference on Mobility and Transport Urban Mobility ? Shaping the Future Together mobil.TUM 2018; Munich; Germany; 13 June 2018 through 14 June 2018
Available from: 2018-12-28 Created: 2018-12-28 Last updated: 2020-04-27Bibliographically approved
Silvano, A. P., Olstam, J., Singh, A. & Bolbat, M. (2019). Frånfartskapacitet i cirkulationsplatser: effekter av korsande gång- och cykelflöden. Linköping: Statens väg- och transportforskningsinstitut
Open this publication in new window or tab >>Frånfartskapacitet i cirkulationsplatser: effekter av korsande gång- och cykelflöden
2019 (Swedish)Report (Other academic)
Alternative title[en]
Exit capacity at roundabouts : impact on capacity of crossing pedestrians and bicycles
Abstract [sv]

När det gäller bedömning av framkomlighet i korsningar finns ett behov av metodutveckling för beräkning av oskyddade trafikanters påverkan på fordonstrafiken och vice versa. Detta är speciellt viktigt i cirkulationsplatser eftersom fordonstrafiken som kör ut från en cirkulationsplats ska lämna företräde till korsande gång- och cykeltrafik vilket ibland skapar bakåtblockering av fordon in i cirkulationsplatsen. Den nuvarande kapacitetsberäkningsmetoden i Trafikverkets ”kapacitetsmanual”, TRVMB Kapacitet och framkomlighetseffekter Trafikverkets metodbeskrivning för beräkning av kapacitet och framkomlighetseffekter i vägtrafikanläggningar, som finns implementerade i Capcal beaktar endast korsande gång och cykel (GC) trafikanter vid övergångsställen i tillfarter.

Denna rapport redovisar en studie med syfte att identifiera och undersöka metoder som kan beakta kapacitetsnedsättande effekter av korsande GC-trafik i cirkulationsplatser. Detta för att på sikt kunna överbrygga de brister som finns i den nuvarande metoden. Det är viktig att interaktioner mellan bilister och andra trafikanter ingår i den valda metoden. Den eller de metoder som är intressanta att studera vidare är de metoder som kan beakta korsande gång- och cykeltrafik i tillfart och frånfart i cirkulationsplatser. Dessutom måste den valda metoden beakta olika väjningsbeteende för fordon, gång- och cykeltrafik. Gap-acceptans (GAP) metoder har svårigheter när gång- och cykeltrafik beaktas i modellen på grund av varierande efterlevnad av företrädesregler.

Den genomförda litteraturstudien resulterade i fyra potentiella angreppssätt för att modellera effekter av korsande gång- och cykeltrafikanter i frånfarter i cirkulationsplatser. Ett av angreppssätten (Wu, 2001) har i olika utsträckning tillämpats för såväl japanska förhållanden (Kang och Nakamura, 2014, Kang et al., 2014) och tyska förhållanden (Wu och Brilon, 2017, Wu och Brilon, 2018). Av dessa två tillämpningarna av Wus teori är tillämpningen av Wu och Brilon (den så kallade konflikttekniken) den mest lovande och lämplig avseende bristerna i den nuvarande metoden i Capcal som identifierades.

Abstract [en]

In the evaluation of capacity and level of service at intersections, there is a need to investigate the impact of pedestrians and cyclists flows on vehicle traffic and vice versa. This is especially important at roundabouts, as vehicles that turn right to exit the roundabout must give way ‘yield’ to crossing pedestrians and bicycles, which sometimes creates queue spillbacks of vehicles into the circulating roadway. The current capacity calculation method in the Swedish Transport Administration "capacity manual" (TRVMB) does not take into account such impact and considers pedestrians and cyclists traffic crossing only at the approaching lanes at roundabouts.

This report presents a study with the purpose of identifying and investigating methods that can take into account capacity reduction effects of crossing pedestrians and cyclists flows at roundabouts. This is in order to bridge the shortcomings that exist in the current method. It is important that interactions between drivers and other road users are included in the chosen method. The method(s) that are interesting to study further are the methods that can take into account crossing pedestrians and cyclists traffic in approaching and exiting lanes at roundabouts. In addition, the chosen method must consider different yielding behavior for vehicles, pedestrian and bicycle traffic. Critical time gap based methods have difficulties when pedestrians and cyclists traffic is taken into account in the model because of varying compliance with priority rules.

The literature study resulted in four potential methods for modelling the effects of crossing pedestrians and cyclists on exiting lanes at roundabouts. One of the methods (Wu 2001) has been applied for both Japanese conditions (Kang and Nakamura 2014, Kang, Nakamura et al. 2014) and German conditions (Wu and Brilon 2017, Wu and Brilon 2018). Of these two applications of Wu’s theory, the application of Wu and Brilon (the so-called conflict technique) is the most promising and appropriate regarding the shortcomings of the current method in Capcal.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2019. p. 62
Series
VTI notat ; 4-2019
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:vti:diva-13708 (URN)
Available from: 2019-04-26 Created: 2019-04-26 Last updated: 2020-01-28Bibliographically approved
Olstam, J., Bernhardsson, V., Choudhury, C. F., Klunder, G., Wilmink, I. & van Noort, M. (2019). Modelling Eco-Driving Support System for Microscopic Traffic Simulation. Journal of Advanced Transportation, 2019, Article ID 2162568.
Open this publication in new window or tab >>Modelling Eco-Driving Support System for Microscopic Traffic Simulation
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2019 (English)In: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, Vol. 2019, article id 2162568Article in journal (Refereed) Published
Abstract [en]

Microscopic traffic simulation is an ideal tool for investigating the network level impacts of eco-driving in different networks and traffic conditions, under varying penetration rates and driver compliance rates. The reliability of the traffic simulation results however rely on the accurate representation of the simulation of the driver support system and the response of the driver to the eco-driving advice, as well as on a realistic modelling and calibration of the driver's behaviour. The state-of-the-art microscopic traffic simulation models however exclude detailed modelling of the driver response to eco-driver support systems. This paper fills in this research gap by presenting a framework for extending state-of-the-art traffic simulation models with sub models for drivers' compliance to advice from an advisory eco-driving support systems. The developed simulation framework includes among others a model of driver's compliance with the advice given by the system, a gear shifting model and a simplified model for estimating vehicles maximum possible acceleration. Data from field operational tests with a full advisory eco-driving system developed within the ecoDriver project was used to calibrate the developed compliance models. A set of verification simulations used to illustrate the effect of the combination of the ecoDriver system and drivers' compliance to the advices are also presented.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2019
Keywords
Simulation, Micro, Traffic, Mathematical model, Network (traffic), Driver assistance system, Driver, Behaviour, Environment
National Category
Vehicle Engineering
Research subject
20 Road: Traffic engineering, 25 Road: Traffic theory; 10 Road: Transport, society, policy and planning, 15 Road: Environment
Identifiers
urn:nbn:se:vti:diva-14812 (URN)10.1155/2019/2162568 (DOI)000505993700004 ()2-s2.0-85077677663 (Scopus ID)
Available from: 2020-01-23 Created: 2020-01-23 Last updated: 2020-04-21Bibliographically approved
Janson Olstam, J. (2019). Simulation of vehicles in a driving simulator using microscopic traffic simulation. In: Edward Chung (Ed.), Transport Simulation: Beyond Traditional Approaches (pp. 43-58). CRC Press
Open this publication in new window or tab >>Simulation of vehicles in a driving simulator using microscopic traffic simulation
2019 (English)In: Transport Simulation: Beyond Traditional Approaches / [ed] Edward Chung, CRC Press , 2019, p. 43-58Chapter in book (Other academic)
Abstract [en]

This chapter describes a model that generates and simulates surrounding vehicles for a driving simulator. The proposed model generates a traffic stream, corresponding to a given target flow and simulates realistic interactions between vehicles. The model is built on established techniques for a time-driven microscopic simulation of traffic and uses an approach of only simulating the closest neighborhood of the driving simulator vehicle. In the presented model, this closest neighborhood is divided into one inner region and two outer regions. Vehicles in the inner region are simulated according to advanced sub-models for driving behavior, while vehicles in the outer regions are updated according to a less time-consuming model. The presented work includes a new framework for generation and simulation of vehicles within a moving area. It also includes the development of an enhanced model for overtakings and a simple mesoscopic traffic model. The developed model has been tested within the VTI Driving simulator III. A driving simulator experiment has been conducted in order to verify whether the participants observe the behavior of the simulated vehicles as realistic or not. The results were promising but also indicated that enhancements could be made. Moreover, the model was validated on the number of vehicles that caught up with the driving simulator vehicle and vice versa. The agreement was good for active and passive catch-ups on rural roads and for passive catch-ups on freeways, but less good for active catch-ups on freeways.

Place, publisher, year, edition, pages
CRC Press, 2019
Keywords
Simulation, Simulator (driving), Micro
National Category
Vehicle Engineering
Research subject
20 Road: Traffic engineering; 20 Road: Traffic engineering, 25 Road: Traffic theory
Identifiers
urn:nbn:se:vti:diva-14910 (URN)10.1201/9780429093258-3 (DOI)2-s2.0-85075696598 (Scopus ID)9781439808016 (ISBN)9781420095098 (ISBN)
Available from: 2020-01-23 Created: 2020-01-23 Last updated: 2020-01-23Bibliographically approved
Gyergyay, B., Gomari, S., Olstam, J., Johansson, F., Friedrich, M., Sonnleitner, J., . . . Backhaus, W. (2018). Automation-ready framework for urban transport planning. In: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria: . Paper presented at Transport Research Arena TRA 2018.
Open this publication in new window or tab >>Automation-ready framework for urban transport planning
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2018 (English)In: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria, 2018Conference paper, Published paper (Refereed)
Abstract [en]

The mission of the H2020 CoEXist project is to enable mobility stakeholders to get “Automation-ready” – which CoEXist currently defines as conducting transport and infrastructure planning for connected and automated vehicles (CAVs) in the same comprehensive manner as for existing modes such as conventional vehicles, public transport, pedestrians, and cyclists, while ensuring continued support for existing modes on the same network. This definition will be fine-tuned through stakeholder engagement processes. The H2020 CoEXist project started in May 2017 and will run until April 2020. This paper introduces this project and covers its progress until January 2018, with a focus on the methodology of the “Automation-ready framework” that provides a planning framework for urban road authorities to prepare for the introduction of CAVs on the road network. The framework includes elements about strategic urban mobility planning for CAVs and a clear guide for urban transport planners with a list of concrete actions that cities can do now to plan for CAVs on their road network

Keywords
Transport, Planning, Connected vehicle, Automatic, Autonomous vehilce, Transport authority, Mobility (pers)
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information; 10 Road: Transport, society, policy and planning
Identifiers
urn:nbn:se:vti:diva-13103 (URN)
Conference
Transport Research Arena TRA 2018
Projects
CoEXist
Funder
EU, Horizon 2020, 203438
Available from: 2018-06-01 Created: 2018-06-01 Last updated: 2018-06-12Bibliographically approved
(2018). Completed experimental design templates for eight use cases and AV-ready alternative: Deliverable D3.1 of the CoEXist project.
Open this publication in new window or tab >>Completed experimental design templates for eight use cases and AV-ready alternative: Deliverable D3.1 of the CoEXist project
2018 (English)Report (Other academic)
Keywords
Autonomous vehicle, Simulation, Traffic
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information
Identifiers
urn:nbn:se:vti:diva-13978 (URN)
Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-10-01Bibliographically approved
Jonkers, E., Nellthorp, J., Wilmink, I. & Olstam, J. (2018). Evaluation of eco-driving systems: A European analysis with scenarios and micro simulation. Case Studies on Transport Policy
Open this publication in new window or tab >>Evaluation of eco-driving systems: A European analysis with scenarios and micro simulation
2018 (English)In: Case Studies on Transport Policy, ISSN 2213-624X, E-ISSN 2213-6258Article in journal (Refereed) In press
Abstract [en]

In recent years, various field operational tests (FOTs) have been carried out in the EU to measure the real-world impacts of Intelligent Transport Systems (ITS). A challenge arising from these FOTs is to scale up from the very localised effects measured in the tests to a much wider set of socio-economic impacts, for the purposes of policy evaluation. This can involve: projecting future take-up of the systems; scaling up to a wider geographical area – in some cases the whole EU; and estimating a range of economic, social and environmental impacts into the future. This article describes the evaluation conducted in the European project ‘ecoDriver’, which developed and tested a range of driver support systems for cars and commercial vehicles. The systems aimed to reduce CO2 emissions and energy consumption by encouraging the adoption of green driving behaviour. A novel approach to evaluation was adopted, which used scenario-building and micro-simulation to help scale up the results from field tests to the EU-28 level over a 20 year period, leading to a cost-benefit analysis (CBA) from both a societal and a stakeholder perspective. This article describes the method developed and used for the evaluation, and the main results for eco-driving systems, focusing on novel aspects, lessons learned and implications for policy and research.

Place, publisher, year, edition, pages
Elsevier Ltd, 2018
Keywords
Environment, Driver assistance system, Evaluation (assessment), Driver, Behaviour, Emission, Fuel consumption, Forecast, Europe, Micro, Simulation, Cost benefit analysis
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
urn:nbn:se:vti:diva-13242 (URN)10.1016/j.cstp.2018.08.001 (DOI)2-s2.0-85051383948 (Scopus ID)
Available from: 2018-09-12 Created: 2018-09-12 Last updated: 2018-12-19Bibliographically approved
(2018). Scenario specifications for eight use cases: Deliverable D1.4 of the CoEXist project.
Open this publication in new window or tab >>Scenario specifications for eight use cases: Deliverable D1.4 of the CoEXist project
2018 (English)Report (Other academic)
Keywords
Autonomous vehicle, Simulation, Traffic
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information
Identifiers
urn:nbn:se:vti:diva-13980 (URN)
Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-10-01Bibliographically approved
(2018). Use case specifications: Deliverable D1.3 of the CoEXist project.
Open this publication in new window or tab >>Use case specifications: Deliverable D1.3 of the CoEXist project
2018 (English)Report (Other academic)
Keywords
Autonomous vehicle, Simulation, Traffic
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information
Identifiers
urn:nbn:se:vti:diva-13979 (URN)
Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-10-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0336-6943

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