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Bi-objective bus scheduling optimization with passenger perception in mind
With the development of big traffic data, bus schedules should be changed from the traditional "empirical" rough scheduling to "responsive" accurate...
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Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data
We present a framework for extracting spatiotemporal trip typologies using noisy mobile ticketing boarding data sampled from passengers in a bus...
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LSTM Network Integrated with Particle Filter for Predicting the Bus Passenger Traffic
The paper reports a combination of the deep learning technique and bayesian filtering to effectively predict the passenger traffic. The architecture...
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Real-time passenger bus routing problems with preferences and tradeoffs
One category of vehicle routing problems involving groups of people where there can be multiple possible drop-off locations is the School Bus Routing...
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Passenger flow prediction in bus transportation system using deep learning
The forecasting of bus passenger flow is important to the bus transit system’s operation. Because of the complicated structure of the bus operation...
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Prediction of Bus Passenger Traffic using Gaussian Process Regression
The paper summarizes the design and implementation of a passenger traffic prediction model, based on Gaussian Process Regression (GPR). Passenger...
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Deployment of autonomous driving on bus rapid transit lanes: Synergy between autonomous vehicle speed and bus timetables
This study investigates the use of autonomous vehicles in bus rapid transit lanes during the initial phases of autonomous driving development. The...
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Analysis of the influence of passenger load on bus energy consumption a vehicle-engine combined model-based simulation framework
Analyzing of the energy consumption (EC) in bus operation is important for reducing operating costs, improving sustainable solutions and creating...
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An overview of solutions to the bus bunching problem in urban bus systems
Bus bunching has been a persistent issue in urban bus system since it first appeared, and it remains a challenge not fully resolved. This phenomenon...
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Comparative analysis of deep-learning-based models for hourly bus passenger flow forecasting
An efficient transportation system is conducive to maintaining traffic flow and safety. Passenger flow forecasting (PFF), an area of traffic...
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Effects of the COVID-19 pandemic on public bus occupancy and real-world tailpipe emissions of gaseous pollutants per passenger kilometer traveled
Public buses typically have less emission per passenger kilometer traveled (PKT) than private cars and motorcycles, and the emission benefit of...
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Improving Public Transportation Efficiency Through Accurate Bus Passenger Demand
This paper highlights the significance of efficient management of public transportation systems for providing high-quality service to passengers. The...
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Automobile, Bus, and Rail Passenger Air Quality
Concentrations of pollutants emitted in the exhaust of gasoline and diesel engines and from evaporation of fuels -- (e.g. CO, CO2, NO...
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Statistal Methods of Bus Passenger Flow Based on Improved YOLOv5s and DeepSORT Algorithms
Aiming at the problem of low tracking accuracy in the statistics of bus passengers getting on and off, an improved passenger flow statistics...
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Cooperative Optimization of Bus-Subway-Shared Bicycle Based on Uncertainty Theory
This research considered the uncertainty of the operation time of shared bicycle, constructed the urban coupling network, and established the...
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Assessing the Passenger Load of Urban Bus Performance in Eastern Region Malaysia Peninsular
Public transport should improve availability and versatility and capable to reduce the dependency on private vehicle at once. The statistics shows...
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A Visual Analytics Approach for Inferring Passenger Demand in Public Transport System Based on Bus Trajectory
In order to properly planning transportation systems and providing adequate services, it is essential to characterize the passenger demands,...
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Co** with unforeseen circumstances: the COVID-19 crisis and bus contract renegotiation in Sweden
In principle, competitively tendered contracts in Swedish public bus transport are not supposed to be renegotiated during the contract period. In...
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Origin–destination matrices from smartphone apps for bus networks
The knowledge of passenger flows between each origin–destination (OD) pair is a main requirement in public transport for service planning, design,...
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An Adaptable Algorithm for Optimizing Bus Line Distribution Using the Clustering Method
The current fleet of cars requires reevaluation, upgrades, and replacement in response to the expanding human population, the increase in urban...
