A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

Nadi, Ali; Sharma, Salil; Lint, Hans van; Tavasszy, Lóránt; Snelder, M.

doi:10.1016/j.tra.2022.05.008

Transportation Research Part A: Policy and Practice

2022

DOI: 10.1016/j.tra.2022.05.008

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A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

Ali Nadi

Salil Sharma

Hans van Lint

et al.

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2024

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Cited by 1 publication

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Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test

Blinova,

Kumar,

Kansal

et al. 2024

BIO Web Conf.

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This research examined the effectiveness of data-intensive traffic management in urban settings using real-time insights from traffic management simulation experiments. The examination of data on traffic flow revealed a noteworthy decrease in congestion, with a 25% increase in traffic velocity during peak hours. Real-time information led to a 40% drop in the severity of traffic accidents and a 50% reduction in reaction times. Improved road safety was aided by a 30% decrease in accidents during inclement weather thanks to real-time weather data. To further optimize urban traffic flow, dynamic traffic management operations based on real-time information also resulted in a 20% reduction in congestion. These results highlight the revolutionary potential of data-intensive traffic management, offering safer and more effective urban transportation solutions by incorporating real-time information into traffic control plans.

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Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test

Blinova,

Kumar,

Kansal

et al. 2024

BIO Web Conf.

View full text Add to dashboard Cite

show abstract

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A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

Cited by 1 publication

References 22 publications

Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test

Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test

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