4.7 Article

A distributed deep reinforcement learning-based integrated dynamic bus control system in a connected environment

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Reinforcement learning-based bird-view automated vehicle control to avoid crossing traffic

Yipei Wang et al.

Summary: This paper introduces an innovative bird-view control framework for connected automated vehicles, which enables smart driving on multi-lane roads through communication between road infrastructure and vehicles. Research shows that this control policy is highly stable and collision-free.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

An integrated transport and economic equilibrium model for autonomous transportation systems considering parking behavior

Xiang Zhang et al.

Summary: This study investigates the potential positive or negative societal impacts of AVs' expected travel and parking behavior, developing an integrated transport and economic model and conducting a case study in Sydney to demonstrate the significant losses of social welfare that can result from AV parking patterns.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

Article Engineering, Civil

Mitigating Bunching With Bus-Following Models and Bus-to-Bus Cooperation

Konstantinos Ampountolas et al.

Summary: Bus bunching, an instability problem on high-frequency public transport lines, can be mitigated using bus-following models and cooperative control strategies between buses. These models allow for avoiding explicit modeling of bus stops, resulting in discrete problems with events occurring at arbitrary time intervals. By implementing bus-to-bus communication and control, the system can successfully eliminate bunching and improve schedule reliability and delays in bus services.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Computer Science, Interdisciplinary Applications

Dynamic headway control for high-frequency bus line based on speed guidance and intersection signal adjustment

Yiming Bie et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)

Article Transportation Science & Technology

Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework

Jiawei Wang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Economics

Robust dynamic bus controls considering delay disturbances and passenger demand uncertainty

Shukai Li et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2019)

Article Automation & Control Systems

Consensus and disturbance attenuation in multi-agent chains with nonlinear control and time delays

Linjun Zhang et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2017)

Article Economics

Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour

Weitiao Wu et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2017)

Article Computer Science, Artificial Intelligence

A New Neural Dynamic Classification Algorithm

Mohammad Hossein Rafiei et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Proceedings Paper Automation & Control Systems

Relations between Model Predictive Control and Reinforcement Learning

Daniel Goerges

IFAC PAPERSONLINE (2017)

Article Economics

Real-time holding control for high-frequency transit with dynamics

G. E. Sanchez-Martinez et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2016)

Article Economics

A real-time bus dispatching policy to minimize passenger wait on a high frequency route

Simon J. Berrebi et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2015)

Proceedings Paper Transportation

A model of bus bunching under reliability-based passenger arrival patterns

Achille Fonzone et al.

21ST INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY (2015)

Article Transportation Science & Technology

Bus stop-skipping scheme with random travel time

Zhiyuan Liu et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)

Article Economics

How much can holding and/or limiting boarding improve transit performance?

Felipe Delgado et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2012)

Article Economics

Dynamic bus holding strategies for schedule reliability: Optimal linear control and performance analysis

Yiguang Xuan et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2011)

Article Economics

Reducing bunching with bus-to-bus cooperation

Carlos F. Daganzo et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2011)

Article Transportation Science & Technology

Simultaneous control of traffic lights and bus departure for priority operation

Luiz Alberto Koehler et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2010)

Article Economics

A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons

Carlos F. Daganzo

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2009)

Article Economics

A Lagrangian heuristic for the real-time vehicle rescheduling problem

Jing-Quan Li et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2009)

Article Operations Research & Management Science

The holding problem with real-time information available

XJ Eberlein et al.

TRANSPORTATION SCIENCE (2001)