Research Topic

Collaborative Transportation

About this Research Topic

With the growing popularity of the shared economy, collaborative transportation services are called to transform both urban and inter-urban mobility for personal, public and freight purposes. These are expected to have major environmental and economic benefits by reducing pollution (e.g. CO2 emissions and noise pollution), traffic congestion and energy consumption. Additionally, this new mobility paradigm is said to become even much more attractive in a future world of self-driving vehicles. However, despite its major potential benefits, shared mobility solutions are nowadays still far from being widely used. This is demonstrated by the findings of the US Census Bureau, where only 9.3% commuters in the country carpooled to work compared to 76.4% who drove alone. One of the reasons behind such insufficient engagement is the lack of effective incentive policies implemented by regulatory authorities, who are unable to estimate the costs and benefits of a given policy. Along these lines, and motivated by the growing concerns about climate change, congestion and oil dependency, further research is needed to understand the benefits of collaborative transportation. It is also necessary for such research to consider cost, time and privacy requirements of users to ensure their engagement and adoption.

This Research Topic aims to provide a platform to share high quality research ideas related to collaborative transportation, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a research “meeting point” for people (ridesharing, carpooling, bikesharing, etc.) and freight (collaborative transportation planning, collaborative vehicle routing, co-loading, logistics, etc.) transportation. These two aspects of collaborative transportation have always been treated separately despite sharing many technical and non-technical features.

This Research Topic welcomes articles concerning collaborative transportation topics, including people and freight transportation. More specifically, we welcome Original Research, Methods and Data Reports focusing (but not limited to) on the following topics:
● Incentive mechanisms for ridesharing
● Algorithms for large-scale ridesharing, bikesharing, carpooling
● Algorithms for co-loading, collaborative transportation planning, collaborative vehicle routing
● Actual-world experiments of collaborative transportation systems
● Forecasting techniques for collaborative transportation
● Simulation techniques and systems for collaborative transportation
● Integration of collaborative transportation solutions with other transportation services
● Algorithms to learn passengers’ preferences
● Policy-making decision support systems


Keywords: Collaborative Transportation, Collaborative Transportation Planning, Collaborative Vehicle Routing, Co-Loading, Logistics, Mobility, Passengers, Carpool, Bikeshare, Rideshare


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

With the growing popularity of the shared economy, collaborative transportation services are called to transform both urban and inter-urban mobility for personal, public and freight purposes. These are expected to have major environmental and economic benefits by reducing pollution (e.g. CO2 emissions and noise pollution), traffic congestion and energy consumption. Additionally, this new mobility paradigm is said to become even much more attractive in a future world of self-driving vehicles. However, despite its major potential benefits, shared mobility solutions are nowadays still far from being widely used. This is demonstrated by the findings of the US Census Bureau, where only 9.3% commuters in the country carpooled to work compared to 76.4% who drove alone. One of the reasons behind such insufficient engagement is the lack of effective incentive policies implemented by regulatory authorities, who are unable to estimate the costs and benefits of a given policy. Along these lines, and motivated by the growing concerns about climate change, congestion and oil dependency, further research is needed to understand the benefits of collaborative transportation. It is also necessary for such research to consider cost, time and privacy requirements of users to ensure their engagement and adoption.

This Research Topic aims to provide a platform to share high quality research ideas related to collaborative transportation, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a research “meeting point” for people (ridesharing, carpooling, bikesharing, etc.) and freight (collaborative transportation planning, collaborative vehicle routing, co-loading, logistics, etc.) transportation. These two aspects of collaborative transportation have always been treated separately despite sharing many technical and non-technical features.

This Research Topic welcomes articles concerning collaborative transportation topics, including people and freight transportation. More specifically, we welcome Original Research, Methods and Data Reports focusing (but not limited to) on the following topics:
● Incentive mechanisms for ridesharing
● Algorithms for large-scale ridesharing, bikesharing, carpooling
● Algorithms for co-loading, collaborative transportation planning, collaborative vehicle routing
● Actual-world experiments of collaborative transportation systems
● Forecasting techniques for collaborative transportation
● Simulation techniques and systems for collaborative transportation
● Integration of collaborative transportation solutions with other transportation services
● Algorithms to learn passengers’ preferences
● Policy-making decision support systems


Keywords: Collaborative Transportation, Collaborative Transportation Planning, Collaborative Vehicle Routing, Co-Loading, Logistics, Mobility, Passengers, Carpool, Bikeshare, Rideshare


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

31 October 2020 Abstract
22 February 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 October 2020 Abstract
22 February 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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