Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border
Zhenhua Zhang, Lei Lin, Lei Zhu, Anuj Sharma

TL;DR
This study analyzes border crossing delay patterns at Niagara Frontier, identifying key factors influencing congestion at three ports for commercial and passenger vehicles using decision trees.
Contribution
It introduces a decision tree-based approach to uncover significant factors affecting border delays and provides insights for improving traffic management at the border crossings.
Findings
LQ and PB are more congested during Canadian holidays for passenger vehicles to the USA.
RB experiences higher congestion for passenger vehicles in summer, likely due to tourism.
PB is consistently more congested for commercial trucks to the USA.
Abstract
Border crossing delays between New York State and Southern Ontario cause problems like enormous economic loss and massive environmental pollutions. In this area, there are three border-crossing ports: Peace Bridge (PB), Rainbow Bridge (RB) and Lewiston-Queenston Bridge (LQ) at Niagara Frontier border. The goals of this paper are to figure out whether the distributions of bi-national wait times for commercial and passenger vehicles are evenly distributed among the three ports and uncover the hidden significant influential factors that result in the possible insufficient utilization. The historical border wait time data from 7:00 to 21:00 between 08/22/2016 and 06/20/2017 are archived, as well as the corresponding temporal and weather data. For each vehicle type towards each direction, a Decision Tree is built to identify the various border delay patterns over the three bridges. We find…
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Taxonomy
TopicsVehicle emissions and performance · Traffic control and management · Transportation Planning and Optimization
