Invited Session 6

Resilience, Reliability, and Security of Smart Mobility of Intelligent Transportation and Vehicles Management

Submission code: 92hrm 

by

Bohui Wang

School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798

Tel: +65 67905468

wang@ntu.edu.sg

 

Yan Wang

School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798

Tel: +65 8283 6145

wang.yan@ntu.edu.sg

 

Yu Zhao

School of Automation, Northwestern Polytechnical University

yuzhao5977@gmail.com

 

Ma Changxi

School of Traffic and Transportation, Lanzhou Jiaotong University

machangxi@mail.lzjtu.cn

 

Zhang Langwen

College of Automation Science and Technology, South China University of Technology, Guangzhou 510641, People's Republic of China

aulwzhang@scut.edu.cn

 

Abstract:

This proposal is to create an invited session on resilience, reliability, and security of smart mobility of intelligent transportation and vehicles management. The motivation is the growing emphasis around world on smart mobility that aims for new technologies and mindsets to effectively reduce ever-increasing traffic congestions and their related side effects such as air pollution, fatalities, and time waste, while enhancing key features of transport, i.e., safety, comfort and affordability. Considering the broadness of this exciting field, ranging from intelligent transportation, vehicle control, power management, traffic signaling, sharing mobility, localization, crowd management, information infrastructure to cyber security, in this session we restrict ourselves to a few specific topics on the performance of future mobility traffic systems, and aim to report recent research achievements and identify relevant challenges that may shape future smart mobility systems.          

 

I OVERVIEW:  

Mobility, literally speaking, refers to the ability to move from one location to another. It is key to the functioning of a livable and sustainable community. An efficient people-mover system is the backbone of a smart city that has been drawing world-wide attention. In anticipation of population growth and demographic changes, it is vital to develop an integrated and sustainable transport system that meets the diverse needs of the burgeoning population. The key lies in our ability to harness the capabilities of information communication technologies, factor resilience into infrastructure planning and management, retrofit existing infrastructure to promote greener commuting modes and develop innovative technologies in a timely manner to respond to people of all age groups. With all advanced transport related technologies achieved so far, fundamentally we are still facing the main challenge of how to ensure resilience, reliability, and security in terms of travel (time or money) cost, environmental footprint, social impact, and so on.             

 

The systems and control community has long been involved in developing solutions to address safety, comfort and affordability in mobility. Numerous works have been reported in the literature and applied to industrial practices, e.g., robust or adaptive vehicle control, networked control of multi-vehicular systems, optimal vehicle control, real-time traffic signal control, platooning, and multi-modal fleet management. Currently, with the new wave of information and sensor technologies, accompanied by new infrastructural concepts such as Cyber Physical Systems (CPS), Internet of Things (IoT), Vehicleto-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Grid (V2G), the community is bracing new challenges ranging from system modeling and identification, real-time vehicle and infrastructure control to optimal economic and social management that are typically accompanied by enormous amount of data attainable in real time. First principle models are more and more difficult to obtain, owing to the sheer scale and complexity of a mobility system. The new information technologies are also bringing people directly into the decision loop that requires new design procedures. How to integrate people, system infrastructure and data together to form a real-time smart mobility system that can significantly enhance safety and travel comfort, while reducing costs in whatever appropriate sense, has been the new focus of research and development.

 

II THE GOAL OF THIS INVITED SESSION AND ITS COHESIVE STRUCTURE    

The goal of this session is to report some recent research achievements related to intelligent transportation, connected automated vehicle and personal mobility devices (e.g., optimal vehicle control, dispatching and routing, uncertainty handling, autonomous driving policy learning, and relevant control techniques), analyses of impacts of traffic accidents and human social behaviors on performance of vehicle networks, identify relevant challenges in Resilience, Reliability, and Security of Smart Mobility, and promote a process for converging to a common terminology, appropriate modeling frameworks, and problem formulations that are particularly relevant to the systems and control research community.

 

Topics of interest include, but are not limited to:

Next Generation of Traffic Model and Control Strategy of Intelligent Transport Systems in Smart Mobility

Recent Trends in Intelligent Transportation System

Systematic Modelling and Simulation for Connected Automated Vehicles

Advance Control Developments Using Multi-agent Cooperative Control

Platooning Control of Connected Automated Vehicles

Networked Control Systems

Resilient System Design in Smart Mobility

Fault Tolerant Control in Traffic Control

Security Attacks and Human Decision in Smart Mobility

Robust and Model predictive control

Prognostics and health management

Distributed fault detection and information fusion