Simulation of automated transport offers for the city of Brunswick

Cyganski, Rita; Heinrichs, Matthias; Schmidt, Antje von; Krajzewicz, Daniel

doi:10.1016/j.procs.2018.04.083

Cited by 23 publications

(8 citation statements)

References 6 publications

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“…The results from Study 2 are already utilised, for instance, in the DLR 8 research projects 'NGC -FiF' 9 , 'UBA-Digital' 10 , 'Automover' 11 and 'VW-DM' 12 for model-based simulations and scenarios relating to the impact of the introduction of various AV concepts into the transport system. The results from modelbased simulation analyses based on the data from Study 2 can be found in a study by Cyganski et al (2018), among others.…”

Section: General Discussion On the Results And Research Contribution Of The Thesismentioning

confidence: 99%

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Kolarova

Cherchi

2021

Transportation Research Part C: Emerging Technologies

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Section: General Discussion On the Results And Research Contribution Of The Thesismentioning

confidence: 99%

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Kolarova

Cherchi

2021

Transportation Research Part C: Emerging Technologies

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“…Though many positive impacts from autonomous ride-sharing services are expected, Cyganski et al (2018) observe a lower acceptance for ride-sharing, compared to autonomous taxi-based services in Brunswick (Germany). Lang et al (2018) make a similar observation for Bostonians (USA).…”

Section: Suitability Of Sav Servicesmentioning

confidence: 96%

“…A common observation found in the literature is that SAV services will mainly attract users of sustainable modes of transport, i.e., PT, walking and bicycling (Bösch et al, 2018b;Cyganski et al, 2018;Pakusch et al, 2018;Soteropoulos et al, 2018). Lang et al (2018) usage will be replaced in urban areas.…”

Section: Effect Of Sav Service On Mode Choice Behaviour Of Peoplementioning

confidence: 99%

Shared autonomous vehicle services: A comprehensive review

Narayanan

Chaniotakis

Antoniou

2020

Transportation Research Part C: Emerging Technologies

486

139

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The actions of autonomous vehicle manufacturers and related industrial partners, as well as the interest from policy makers and researchers, point towards the likely initial deployment of autonomous vehicles as shared autonomous mobility services. Numerous studies are lately being published regarding Shared Autonomous Vehicle (SAV) applications and hence, it is imperative to have a comprehensive outlook, consolidating the existing knowledge base. This work comprehensively consolidates studies in the rapidly emerging field of SAV. The primary focus is the comprehensive review of the foreseen impacts, which are categorised into seven groups, namely (i) Traffic & Safety, (ii) Travel behaviour, (iii) Economy, (iv) Transport supply, (v) Landuse, (vi) Environment & (vii) Governance. Pertinently, an SAV typology is presented and the components involved in modelling SAV services are described. Issues relating to the expected demand patterns and a required suitable policy framework are explicitly discussed.

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“…The performance of different proportions of rider groups' willingness to share varying from 0% to 100% was evaluated in [14]. The performance of two different system configurations (ridesharing system, carsharing system) of AV fleet was assessed in [16], [28], [43], [48]. Vehicle range (N = 5) is usually taken into consideration when the research object is related to the electric vehicle.…”

Section: ) the Key Variables Considered In The Simulationmentioning

confidence: 99%

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

Jing

Zhan

et al. 2020

IEEE Access

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Autonomous vehicles (AVs) may have a transformative influence on transportation systems. AV use is expected to reduce crash, transport costs, and land use. However, the net effects of the autonomous vehicle are unknown because there are no fully-autonomous vehicles in reality. The simulation systems are indispensable to be built up not only for cost but also for obtaining massive data. An agent-based simulation is capable of simulating the entities in a complex system, such as the AV system. Considering the potential of agent-based models to complement existing models and the difficulty to understand, to duplicate and to compare different agent-based models, this paper review existing agent-based modeling of autonomous vehicles with the help of ODD protocol, which has been applied in the review of agent-based land-use change models and agricultural policy evaluation. The significant variables that researchers have taken into consideration in sensitivity analysis and in the different scenarios are explored in the paper. Fleet size is the primary variable researchers considered, and we also discussed the probable causes of different AV replacement rates. We have assessed the quality of reviewed articles to gain more acceptance from the agent-based modeling community. Most of the reviewed papers follow the ODD protocol of agent decision making. However, in order to improve the level of modeling transparency, the executable and related data shall be available, at least the data source and the programming language/simulation platform should be provided. Several recommendations for further research are also presented. INDEX TERMS Agent-based model, autonomous vehicle, systematic literature review, ODD+D, multi-agent systems.

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Simulation of automated transport offers for the city of Brunswick

Cited by 23 publications

References 6 publications

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Shared autonomous vehicle services: A comprehensive review

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review

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