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ADAS at work: assessing professional bus drivers’ experience and acceptance of a narrow navigation system
Due to the argued benefits of passenger comfort, cost savings, and road safety, the bus sector is showing increasing interest in advanced...
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Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices
In the rapid development of public transportation led, the traffic flow prediction has become one of the most crucial issues, especially estimating...
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A bus passenger re-identification dataset and a deep learning baseline using triplet embedding
Bus passenger re-identification is a special case of person re-identification, which aims to establish identity correspondence between the front door...
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Sustainable and smart electric bus charging station deployment via hybrid spherical fuzzy BWM and MULTIMOORA framework
This study aims to assist public bus operators in locating electric bus charging station (EBCS) facilities from a smart and sustainable view. The...
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Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach
This paper aims at metro station clustering based on passenger flow data. Compared with existing clustering methods that only use boarding or...
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An Integrated Framework for Bus-Driver Allocation in Bangladesh
Intelligent transport system (ITS) aims to launch constructive vehicular connectivity and synchronization techniques which notably improve travel...
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Detection of passenger flow on and off buses based on video images and YOLO algorithm
Bus passenger flow information is very important as a reference data for bus company line optimization, schedule scheduling basis, and passenger...
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Taxonomy for Integrated Passenger—Freight Transportation Models as an Alternative for Urban Logistics
The integration of passenger and freight transport through urban areas could be an effective way to reduce traffic in cities, and its negative...
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Inferring Passenger Travel Demand Using Mobile Phone CDR Data
Urban transportation is a key issue worldwide, especially in Sub-Saharan Africa where there has been a rapid increase in population and at the same...
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Deep Reinforcement Learning of Autonomous Control Actions to Improve Bus-Service Regularity
Bus Bunching is caused by irregularities in demand across the bus route, together with other factors such as traffic. The effect of this problem is...
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Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation
Individual passenger travel patterns have significant value in understanding passenger’s behavior, such as learning the hidden clusters of locations,...
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Detection of crowdedness in bus compartments based on ResNet algorithm and video images
The crowding in bus is an important factor affecting passenger satisfaction and bus dispatching level. However, how to use video images to detect...
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A distributed EMDN-GRU model on Spark for passenger waiting time forecasting
It is hard to forecast waiting time from mobile trajectory big data on the traditional centralized mining platform, and especially the taxi driving...
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A parallel grid-search-based SVM optimization algorithm on Spark for passenger hotspot prediction
Predicting passenger hotspots helps drivers quickly pick up travelers, reduces cruise expenses, and maximizes revenue per unit time in intelligent...
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Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach
This paper proposes a deep reinforcement learning (DRL) approach that dynamically determines the dispatching of bus services at the starting bus stop...
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An improved normal wiggly hesitant fuzzy FMEA model and its application to risk assessment of electric bus systems
The highly dynamic nature of the real-world environment poses significant challenges for electric bus system operations (EBSOs), which are prone to...
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Cyber risk management for autonomous passenger ships using threat-informed defense-in-depth
Recent innovations in the smart city domain have led to the proposition of a new mode of transportation utilizing Autonomous Passenger Ships (APS) or...
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Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting
Spatiotemporal modelling of short-term forecasts of metro passenger flows continue to face tremendous challenges. First, there is a need to consider...
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Appearance-based passenger counting in cluttered scenes with lateral movement compensation
Autonomous passenger counting in public transportation represents an integral part of an intelligent transportation system, as it provides vital...
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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,...