Urban Vehicle Concepts for the Shared Mobility

Röth, Thilo; Pielen, Michael; Wolff, Klaus; Lüdiger, Thomas

doi:10.1007/s38311-017-0163-4

Cited by 7 publications

(4 citation statements)

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“…Through the Czml Data Source class Instantiate it to complete the visualization of CZML data. The Timeline timeline control in Cesium can implement functions such as fast forward, fast rewind, and pause in the scene simulation [7,8].…”

Section: Load 4d Data Featuresmentioning

confidence: 99%

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Development of 3D Simulation Platform of Urban Traffic Based on Cesium

2022

IJFET

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In order to meet the increasing aesthetic needs of the public, improve the integration of traffic planning and urban planning, facilitate traffic simulation data analysis and effect display, and facilitate traffic planning scheme evaluation, this paper is based on cesium to develop a three-dimensional simulation platform for urban traffic, design Celestia came out, and based on common simulation software such as sumo, Paramics, Vissim, and used Python and JavaScript language to design and develop a web page simulation platform to display the 3D effect of road traffic simulation for users, and added a lot to improve the simulation effect, which is convenient for users. Functions to evaluate simulation effects. Users only need to open the website, upload the simulation file or select the map area in the map link box, select the simulation parameter requirements, and wait for the data to be read in the background to get an interactive 3D traffic simulation. This work with convenient operation, powerful function and broad development space largely fills the blank of domestic road traffic 3D simulation. Experiments show that when the number of divisions reaches 15, the resolution is 0.037m (within 5 cm), which can meet most practical needs.

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Section: Load 4d Data Featuresmentioning

confidence: 99%

“…Published by Francis Academic Press, UK -27-and the map data is loaded by the remote service and visualized on the web page [7,8].…”

Section: Characteristics Of Terrain Data On a Global Scalementioning

confidence: 99%

Development of 3D Simulation Platform of Urban Traffic Based on Cesium

2022

IJFET

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“…They will notably reduce the number of circulating vehicles and, also thanks to route optimisations, will definitely reduce traffic and pollution [69]. Last but not least, they will pave the way for a number of innovative solutions in the provisioning of mobility services [85], to serve our needs with much greater levels of quality and efficiency than today.…”

Section: Introductionmentioning

confidence: 99%

Coordination of Autonomous Vehicles: Taxonomy and Survey

Mariani,

Cabri,

Zambonelli

2020

Preprint

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In the near future, our streets will be populated by myriads of autonomous self-driving vehicles to serve our diverse mobility needs. This will raise the need to coordinate their movements in order to properly handle both access to shared resources (e.g., intersections and parking slots) and the execution of mobility tasks (e.g., platooning and ramp merging). In this paper, we firstly introduce the general issues associated to coordination of autonomous vehicles, by identifying and framing the key classes of coordination problems. Following, we overview the different approaches that can be adopted to manage such coordination problems, by classifying them in terms of the degree of autonomy in decision making that is left to autonomous vehicles during coordination. Finally, we overview some further peculiar challenges that research will have to address before autonomously coordinated vehicles can safely hit our streets.

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“…Ride selling refers to a form of demand aggregation offered by apps or via Internet browsers. It is a paid passenger transport service with passenger cars (mostly minibuses or minivans) that is offered for individual or collective transport by a mobility service provider who provides both the vehicle and the driver [20].…”

Section: Introductionmentioning

confidence: 99%

The Impact of On-Demand Collective Transport Services on Sustainability: A Comparison of Various Service Options in a Rural and an Urban Area of Switzerland

2021

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This study examines the effects of on-demand mobility services on sustainability in terms of emissions and traffic volume. According to our simulations, implementing on-demand mobility services is recommendable only as a supplement to public transport in both urban and rural regions since there are positive effects in terms of CO2 emissions. However, in urban areas, there is a negative impact on the traffic volume in terms of additional vehicle kilometres since the bundled public transport demand is replaced by less bundled on-demand vehicles. In rural areas, the increase in vehicle kilometres plays less of a role due to generally low demand. The negative effects per vehicle kilometre are slightly higher in rural areas due to higher empty kilometres and lower bundling rates, but the negative effects per km2 in dense cities are much more serious. Authorities need to consider these effects according to the spatial context when implementing such services.

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Urban Vehicle Concepts for the Shared Mobility

Cited by 7 publications

References 0 publications

Development of 3D Simulation Platform of Urban Traffic Based on Cesium

Development of 3D Simulation Platform of Urban Traffic Based on Cesium

Coordination of Autonomous Vehicles: Taxonomy and Survey

The Impact of On-Demand Collective Transport Services on Sustainability: A Comparison of Various Service Options in a Rural and an Urban Area of Switzerland

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