2020
DOI: 10.1016/j.trpro.2020.10.073
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Development of transport infrastructure organization model for modern cities with growing effectiveness

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Cited by 19 publications
(3 citation statements)
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“…Possible applications include intersection traffic safety analysis and signaled crossing safety assurance [74,75]; hardware and software packages for measuring driver reaction time in road accidents investigation [76]; and transport safety assurance with the use of intelligent driver assistance systems [77]. The proposed method will prove useful also in modeling the transport infrastructures for modern cities with growing efficiency; measuring the effectiveness of automated road accident scene sketching based on data from a mobile device camera; analysis of road safety, the reliability of the sustainability criteria for urban passenger transport, and route-optimization-based mechanisms for improving the safety of cargo transportation in urban agglomerations; forecasting the levels of energy consumption and greenhouse gas emissions from vehicles; introducing pedestrian early warning systems into intelligent transport system infrastructures; traffic accident risk analysis in conditions of urban traffic demand change; and designing a manmachine interface for self-driving vehicles with account of the time needed to take back control [78][79][80][81][82][83][84][85][86][87][88][89].…”
Section: Resultsmentioning
confidence: 99%
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“…Possible applications include intersection traffic safety analysis and signaled crossing safety assurance [74,75]; hardware and software packages for measuring driver reaction time in road accidents investigation [76]; and transport safety assurance with the use of intelligent driver assistance systems [77]. The proposed method will prove useful also in modeling the transport infrastructures for modern cities with growing efficiency; measuring the effectiveness of automated road accident scene sketching based on data from a mobile device camera; analysis of road safety, the reliability of the sustainability criteria for urban passenger transport, and route-optimization-based mechanisms for improving the safety of cargo transportation in urban agglomerations; forecasting the levels of energy consumption and greenhouse gas emissions from vehicles; introducing pedestrian early warning systems into intelligent transport system infrastructures; traffic accident risk analysis in conditions of urban traffic demand change; and designing a manmachine interface for self-driving vehicles with account of the time needed to take back control [78][79][80][81][82][83][84][85][86][87][88][89].…”
Section: Resultsmentioning
confidence: 99%
“…The introduction of the information commutation, or digital, technologies into the modern reality of transport systems operation allows for the parallel processing of multiple "inputs" and "outputs" within intelligent transport systems [74][75][76][77][78][79] and ensures adequate amounts, or a "database", of optimization parameters [80][81][82][83][84][85][86][87][88][89]. Using the proposed analytical model, it is possible to equip the ITS management system with an information analysis platform that builds on a synthesis of methods for managing the complex systems' structural dynamics and allows for optimal correspondence of the information situation to the decision making.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, urban infrastructure planning should consider that a resident of a modern city may choose the transportation modes to be used, breathe fresh air, enjoy pleasant views, receive preferential information, and frequently sightsee. Proper urban infrastructure is then required for bicycles, scooters, skates, segways, electric unicycles, or any other alternatives [29]. The use of electric vehicles (e.g., cars, scooters, bikes) has increased recently [30], which leads to the need for new urban infrastructure to charge batteries [31] and support green-energy-based cargo logistics services [32].…”
Section: Introductionmentioning
confidence: 99%