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Traffic signal priority control for public transport rapid transit based on a step-by-step prediction algorithm
In recent years, the problem of urban traffic congestion has become serious as the urban population increases rapidly around the world. In many...
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Modeling Modified Intermittent Bus Lane Integrated with Transit Signal Priority Under Mixed Traffic Condition
This study endeavors to develop a new prioritizing scheme for transit vehicles (i.e., bus) without compromising the delay of other traffic by...
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A Review on Bus Signal Priority Systems
Bus signal priority (BSP) is a traffic management measure which enhances the efficiency and service reliability of the buses. An efficient BSP helps...
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Adaptive urban traffic signal control based on enhanced deep reinforcement learning
One of the focal points in the field of intelligent transportation is the intelligent control of traffic signals (TS), aimed at enhancing the...
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An optimization model of tram timetables considering various signal priority strategies
Modern trams generally operate in a semi-independent Right Of Way that intersects with social vehicles at junctions. Typically, there are two signal...
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Synchronization and implementation of real-time traffic signal optimization regulator
In most cosmopolitan cities like Bengaluru, the major problems are the woes of congestion, such as increased vehicular density, travel time, stress,...
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Dynamic Signal priority of the self-driving bus at an isolated intersection considering private vehicles
The transit signal priority leads to the delay of private vehicles in the priority and non-priority phases. To address this problem, a bi-level...
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Image-based traffic signal control via world models
Traffic signal control is shifting from passive control to proactive control, which enables the controller to direct current traffic flow to reach...
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Information and Communication Technology in Transit Signal Priority Systems: A Review
Prioritizing transit vehicles at signalized intersections is an important step toward reducing the overall person delay at intersections and in turn...
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Mode Search Optimization Algorithm for Traffic Prediction and Signal Controlling Using Bellman–Ford with TPFN Path Discovery Model Based on Deep LSTM Classifier
Given the increasing population, urbanization, and industry, traffic congestion is particularly severe during peak hours, especially in cities. This...
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Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs
Routing of critical or unusual packets from source to sink nodes without packet drops is a challenging task in Wireless Sensor Networks (WSNs)....
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Transferability of a calibrated microscopic simulation model parameters for operational assessment of transit signal priority
This study evaluates the transferability of the calibrated parameters for mobility performance of transit signal priority (TSP) in a microscopic...
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Traffic Signal Control Optimization Based on Deep Reinforcement Learning with Attention Mechanisms
Deep reinforcement learning (DRL) methodology with traffic control systems plays a vital role in adaptive traffic signal controls. However, previous...
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Signalized intersection delay analysis using transit signal priority (TSP) and dedicated short-range communication (DSRC) system for bus rapid transit (BRT)
Transit signal priority (TSP) at signalized intersections is one of the important strategies to change the traffic signal schedule according to the...
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Dynamic Reservation-Based Traffic Control System to Integrate VTOL Vehicle Operations in Connected Vehicle Surface Traffic
Urban air mobility (UAM) represents a promising concept for 3-D transportation, as it leverages a new generation of vertical takeoff and landing...
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AGRCNet: communicate by attentional graph relations in multi-agent reinforcement learning for traffic signal control
Traffic signal control (TSC) can be described as a multi-agent cooperative game. To realize cooperation, multi-agent reinforcement learning (MARL) is...
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Emergency Alert and Adaptive Traffic Signal System Using Machine Learning
This paper expounds about adaptive traffic signals system (ATSS) by applying artificial intelligence and machine learning models. In order to improve...
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HTPA: a hybrid traffic pattern aware arbitration strategy for network on chip systems
The Network-on-Chip (NoC) is a communication infrastructure designed to integrate various components of a System-on-Chip (SoC) and connect multi-core...
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Intelligent Traffic Monitoring Systems
Traffic management is gaining increasing importance in solving the major problem of traffic congestion present in many countries. Traditional...
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Traffic signal control using a cooperative EWMA-based multi-agent reinforcement learning
In contemporary urban, traffic signal control is still enormously difficult. Multi-agent reinforcement learning (MARL) is a promising ways to solve...
