Reducing Total Trip Time and Vehicle Emission through Park-and-Ride -- methods and case-study
Ayane Nakamura, Fabiana Ferracina, Naoki Sakata, Takahiro, Noguchi, Hiroyasu Ando

TL;DR
This paper develops a mathematical framework combining queueing theory and emissions modeling to evaluate and optimize Park-and-Ride systems, aiming to reduce trip times and vehicle emissions in urban areas.
Contribution
It introduces a unified model integrating queueing analysis and emissions assessment for PnR systems, validated through a case study in Tsukuba, Japan.
Findings
Optimal bus policies can reduce social costs by up to 30%
The model effectively evaluates time and environmental impacts of PnR systems
Case study demonstrates practical applicability and benefits of the approach
Abstract
This study addresses important issues of traffic congestion and vehicle emissions in urban areas by developing a comprehensive mathematical framework to evaluate Park-and-Ride (PnR) systems. The proposed approach integrates queueing theory and emissions modeling to simultaneously assess waiting times, travel times, and vehicle emissions under various PnR usage scenarios. The methodology employs a novel combination of Monte Carlo simulation and matrix geometric analytic methods to analyze a queueing network representing PnR facilities and road traffic. A case study of Tsukuba, Japan demonstrates the model's applicability, revealing potential reductions in social costs related to total trip time and emissions through optimized PnR policies. Specifically, the study found that implementing optimal bus frequency and capacity policies could reduce total social costs by up to 30\% compared to…
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Taxonomy
TopicsTransportation Planning and Optimization · Transportation and Mobility Innovations · Vehicle emissions and performance
