GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Mobility and traffic research  (2)
Material
Publisher
Language
Years
FID
  • Mobility and traffic research  (2)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2677, No. 8 ( 2023-08), p. 388-399
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2677, No. 8 ( 2023-08), p. 388-399
    Abstract: With the growing demand of shared electric scooters (e-scooters) for short-distance trips in urban areas, their safety issues have received significant attention from various stakeholders. In general, e-scooter riders encounter more vibrations compared with users of other transportation modes such as bicycles that typically have larger wheels and better suspension systems. Such riding experience may lead to discomfort, affect riders’ health, and increase riding risk. Intuitively, increasing e-scooters’ wheel sizes may provide safer and more comfortable riding experience. However, this assumption has not been well tested. The main objective of this paper is to curtail this gap by quantitatively assessing the impacts riders experienced, through the use mobile sensing data. Specifically, a mobile sensing platform was deployed on e-scooters with different wheel sizes to continuously measure encountered vibrations. Then, the instrumented e-scooters were ridden on routes with different pavement materials. Finally, the collected data were further processed and analyzed to evaluate various riding issues in each riding scenario. The comparative results suggest that e-scooters with larger wheels can efficiently alleviate vibrations during a ride compared with those with smaller wheels. To improve riding experience and safety, it is beneficial to use larger-wheel e-scooters, given other similar riding conditions.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2675, No. 10 ( 2021-10), p. 291-302
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2675, No. 10 ( 2021-10), p. 291-302
    Abstract: Predicting entry-traffic flows synchronously could enable inferences about the changing trends and spatial structure of dynamic traffic flows in an expressway network. This research develops a synchronized entry-traffic flow prediction method for regional expressway systems. The new method first organizes numerous entry-traffic flows as a three-dimensional (time slots, spatial locations, and vehicle types) tensor, then applies tensor decomposition to extract their temporally changing features. After forecasting the temporally changing features, predicted values of entry-traffic flows can be calculated synchronously by tensor reconstruction. Data from hourly entry-traffic flows involving nine vehicle types and 201 spatial locations in a regional expressway system of China are used to discuss the performance of this new method. The results show that the new method could obtain prediction results with high overall accuracy. Comparative experiments indicate that the new method and existing methods (autoregressive integrated moving average, or ARIMA, and Holt-Winters) could generate prediction results with similar accuracy. However, the proposed method has the advantage of reducing the number of time series that need to be handled in the prediction of numerous entry-traffic flows for regional expressway systems. This method might be helpful for administrators to guide and manage vehicles so that they enter the expressway system effectively.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...