2017
DOI: 10.1016/j.trpro.2017.03.090
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On the use of on-line services in transport simulation

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Cited by 5 publications
(4 citation statements)
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References 8 publications
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“…Using online services to access the data collected by IoT devices and smartphones (including crowdsourcing systems) as well as of different types of processed data, there is an opportunity to construct analysis and problem solving models that work with data in a new way [29]. For example, transport simulation models for analysis of public transport might use online services in order to access, e.g., weather data and current travel times, collected by different types of IoT sensors.…”
Section: Planningmentioning
confidence: 99%
“…Using online services to access the data collected by IoT devices and smartphones (including crowdsourcing systems) as well as of different types of processed data, there is an opportunity to construct analysis and problem solving models that work with data in a new way [29]. For example, transport simulation models for analysis of public transport might use online services in order to access, e.g., weather data and current travel times, collected by different types of IoT sensors.…”
Section: Planningmentioning
confidence: 99%
“…Quality is an effective tool for maintaining and increasing the shipping carriers' competitiveness in the freight services market [16]. For its part, the increase of the supply reliability is impossible without the development of information transport technologies [18,20]. However, the current state of the freight and logistics services market does not meet the growing needs of the population and cargo owners [6].…”
Section: Resultsmentioning
confidence: 99%
“…Yet more dynamic uses are also possible, as shown by use of the Google Maps Directions API by García-Albertos et al In addition to the different APIs provided by Google, there are a range of other travel APIs. In a study by Hajinasab et al (2017) on the use of online services for transport simulation models, the API of the local online travel planner Skånetrafiken is adopted to collect data on available public transport options. This API is complemented with the Google Maps Directions API to gather cycling, walking and driving routes, together with a weather forecasting service API.…”
Section: Approaches To Web-based Travel Data Collectionmentioning
confidence: 99%
“…A first strength involves the provision of recent and/or real-time travel information (Hajinasab et al 2017;Wang and Xu 2011). According to Wang and Xu (2011), for example, the Google Maps service is generally updated twice a month, which is likely to be significantly more than, for example, static road network shapefiles for GIS network analyses.…”
Section: The Use Of Apis In Transport Research: Strengths and Weaknessesmentioning
confidence: 99%