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Dynamic Bus Dispatch Policies
The time gap between two successive buses is called headway in transport systems. In moderate/high frequency routes, with moderate/small headways,...
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Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems
Short-term origin–destination (OD) flow prediction is vital for operations planning, control, and management in urban railway systems. While the...
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Customer Satisfaction and Company Revenue: A Solution Approach for the Passenger Management on Buses
In this work we investigate the bus group assignment problem considering the maximization of both the revenue derived from the tickets sale and the...
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Improving Emergency Response: An In-Depth Analysis of an ITS-G5 Messaging Strategy for Bus Blockage Emergencies at Level Crossings
The Intelligent Transportation System protocol stack has revolutionized traffic efficiency and road safety applications in vehicular environments....
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Develo** artificial neural networks to estimate real-time onboard bus ride comfort
The ride comfort of bus passengers is a critical factor that is recognised to attract greater ridership towards a sustainable public transport...
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Dual attentive graph neural network for metro passenger flow prediction
Metro system has been increasingly recognized as a backbone of urban transportation system in many cities around the world. To improve the demand...
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Perceiving Airline Passenger Booking Lifecycle with the Utilization of Data Warehouse
Today, expansive ventures depend on database frameworks to oversee their information and data. These databases are valuable for conducting day-by-day...
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Integrated Passenger-Freight Transportation Model: Metro of Quito (Ecuador) as a Case Study
This paper explores the potential of a collaborative passenger and freight transportation system as a sustainable option for urban logistics. A novel...
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Improved Bus Service on Ten Times Less Energy
We have designed the MilliPod™, a platoon of electric, fully automated two-person microvehicles following a professionally operated lead vehicle. The...
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Bus Journey Time Prediction: A Comparison of Whole Route and Segment Journey Time Predictions Using Machine Learning
Accurately predicted bus journey times are essential for bus network reliability and making bus transport attractive. The most common approach when...
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SACA: An End-to-End Method for Dispatching, Routing, and Pricing of Online Bus-Booking
Bus-booking is a novel service proposed to handle the massive traffic demand. Passengers can reserve bus seats through a bus-booking platform and it...
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A fast hybrid computer vision technique for real-time embedded bus passenger flow calculation through camera
Bus passenger flow calculation system is a critical part of the smart public transportation framework. Bus passenger flow information can help to...
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Identification of Bus Stations on the Urban Transport Network Based on GPS Tracking Data
In contemporary urban settings, inhabitants use public transportation to engage in events and commercial transactions; therefore, transportation...
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Bus Route Classification for Rural Areas Using Graph Convolutional Networks
In this paper, we present a new approach to determine the estimated time of arrival (ETA) for bus routes using (Deep) Graph Convolutional Networks...
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The Day-Ahead Forecasting of the Passenger Occupancy in Public Transportation by Using Machine Learning
Public transport is one of the main infrastructures of a sustainable city. For this reason, there are many studies on public transportation which...
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Smart Mobility for Public Transportation Systems: Improved Bus Timetabling for Synchronizing Transfers
Providing an efficient public transportation system is a key issue to increase the livability and sustainability of modern cities. This article...
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The Research of Metaverse Application in Intelligent Railway Passenger Station
As an emerging concept, the metaverse has received a lot of attention and is now being researched for applications in many fields, including...
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Exploration of the Digital Twin for Prototy** the Product-Service System Design in a Bus Manufacturing Company
When bus manufacturing companies move forward in their servitization journey for providing service solutions for tourism industry, there is an...
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HTN planning for dynamic vehicle scheduling with stochastic trip times
Due to the stochastic nature of traffic flow and passenger demand at stops, bus service is constantly subject to delays and disruptions. Therefore,...
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Suppose your bus broke down and nobody came
The absence of a human driver creates novel challenges for fully automated public transport. Passengers are likely to have different expectations,...
