Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

This article presents an overview of the agent‐based modeling and simulation approach
and its recent developments in transport fields, with the purpose of discovering the …

This study analyzes the potential benefits and drawbacks of taxi sharing using agent-based
modeling. New York City (NYC) taxis are examined as a case study to evaluate the …

Traffic flow forecasting is a necessary part in the intelligent transportation systems in
supporting dynamic and proactive traffic control and making traffic management plan …

Purpose This paper aims to address the pressing problem of prediction concerning
shipment times of therapeutics, diagnostics and vaccines during the ongoing COVID-19 …

Active transportation modes–walk and bicycle–are central for low carbon transport, healthy
living, and complete streets initiative. Building a community with amenable walk and bicycle …

Purpose The purpose of this study is to present a large-scale real-world comparative study
using pre-COVID lockdown data versus post-COVID lockdown data on predicting shipment …

Reliable long-term travel time prediction would be effective support to traffic management,
for example, traffic flow control or the pricing of tolls. Gradient boosting (GB) has been …

Nowadays, both the modern and developing countries are planning to deploy Internet of
Vehicles for smart transportation systems to face the traffic congestion problems. Shifting …

Near-future Travel-time information is helpful to implement Intelligent Transportation
Systems (ITS). Travel-time prediction refers to predicting future travel-time. Researchers …