Analyzing Transportation Mode Interactions Using Agent-Based Models

• Published in: Discover Applied Sciences Vol. 5; no. 12; pp. 1 - 16
• Main Authors: Uthpala, Nimashi, Hansika, Nanduni, Dissanayaka, Sachini, Tennakoon, Kumushini, Dharmarathne, Samal, Vidanarachchi, Rajith, Alawatugoda, Janaka, Herath, Damayanthi
• Format: Publication Journal Article
• Language: English
• Published: Basel - Switzerland Springer Nature 01.12.2023; Springer International Publishing; Springer Nature B.V; Springer
• Subjects: Agent-based models; Air pollution; Applied and Technical Physics; Behavior; Bicycles; Bicycling; Case studies; Case Study; Chemistry/Food Science; Climate change; Earth Sciences; Economic analysis; Economic impact; Electric bicycles; Energy consumption; Engineering; Environment; Materials Science; Mathematical models; Micro-mobility; Modularity; Ridesharing; Scooters; Simulation; Traffic; Traffic congestion; Traffic control; Traffic management; Traffic models; Transportation; Urban areas; Urban transportation; Agent-based models; Micro-mobility; Simulation; Transportation; Traffic management

Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main objective of th...