scholarly journals Auto Calibration of Camera and LiDAR attached to Micro Mobility

2022 ◽  
Vol 76 (1) ◽  
pp. 141-149
Author(s):  
Takefumi Hasegawa ◽  
Ryoichi Ishikawa ◽  
Takeshi Oishi ◽  
Yasushi Sugama ◽  
Masahiro Abukawa
Keyword(s):  
Micro Mobility

scholarly journals A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4636
Author(s):  
Mohammed Elhenawy ◽  
Mostafizur R. Komol ◽  
Mahmoud Masoud ◽  
Shiqiang Liu ◽  
Huthaifa I. Ashqar ◽  
...  
Keyword(s):  
User Needs ◽  
Computational Results ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Ride Sharing ◽  
Proposed Model ◽  
Micro Mobility

Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and bikes are crowdsourced. The proposed model is expected to solve the problem of charging and maintaining a large number of light vehicles where these efforts will be the responsibility of the crowd of suppliers. The proposed model consists of three entities: suppliers, customers, and a management party responsible for receiving, renting, booking, and demand matching with offered resources. It can allow suppliers to define the location of their private e-scooters/e-bikes and the period of time they are available for rent. Using a dataset of over 9 million e-scooter trips in Austin, Texas, we ran an agent-based simulation six times using three maximum battery ranges (i.e., 35, 45, and 60 km) and different numbers of e-scooters (e.g., 50 and 100) at each origin. Computational results show that the proposed model is promising and might be advantageous to shift the charging and maintenance efforts to a crowd of suppliers.

scholarly journals If You Provide, Will They Ride? Motivators and Deterrents to Shared Micro-Mobility

2020 ◽  
pp. 26-38
Author(s):  
Ronald W. Pimentel, Ph.D. ◽  
Michael B. Lowry, Ph.D. ◽  
David Pimentel, J.D. ◽  
Amanda K. Glazer ◽  
Timothy W. Koglin ◽  
...  
Keyword(s):  
Pacific Northwest ◽  
Reasoned Action ◽  
Secondary Data ◽  
The United States ◽  
The Pacific ◽  
Micro Mobility ◽  
On Line ◽  
Optimal System Design ◽  
Depth Interviews ◽  
Bike Share

Bike share, e-bike share, and e-scooter systems (shared micro-mobility) are gaining popularity throughout the United States and internationally, but the optimal system design has not been determined. This study investigated motivators and deterrents to the use of such systems in the Pacific Northwest with secondary data, participant observations, depth interviews, and an on-line survey to users and non-users. The survey was administered in all cities in Washington, Oregon, and Idaho that have shared micro-mobility systems. The strongest motivators reported were exercise and enjoyment. The strongest deterrents were weather, danger from automobile traffic, and insufficient bike lanes and paths. The latter two deterrents might be alleviated through continued improvements to infrastructure; however, the weather cannot be changed, and neither can hills. Data were fitted to the Theory of Reasoned Action and the resulting recommendation is to promote popular motivators of exercise and enjoyment and emphasize personal benefits more than social appearances.

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