Article
Transportation Science & Technology
Qinzheng Wang, Yun Yuan, Xianfeng (Terry) Yang, Zhitong Huang
Summary: This paper proposes an adaptive traffic signal control system in a CV environment, aiming to reduce vehicle delay, improve arterial performance, and show superior effectiveness under various CV penetration rates and demand levels.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Transportation Science & Technology
Zhaobin Mo, Wangzhi Li, Yongjie Fu, Kangrui Ruan, Xuan Di
Summary: This paper presents a decentralized reinforcement learning scheme for multi-intersection adaptive traffic signal control system using data collected from connected vehicles. The proposed scheme demonstrates advantages in considering travel delays and coordinating agents, and its effectiveness is verified through experiments under various traffic demand patterns and penetration rates.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Mathematics
Anton Agafonov, Alexander Yumaganov, Vladislav Myasnikov
Summary: Cooperative control of vehicle trajectories and traffic signal phases is proposed to improve transportation system efficiency and safety. A cooperative control method is proposed, which combines a model predictive control algorithm for adaptive traffic signal control and a trajectory construction algorithm. Numerical experiments show that the proposed method can reduce fuel consumption by 1% to 4.2%, travel time by 1% to 5.3%, and stop delays by 27%, compared to baseline methods, in different simulation scenarios.
Article
Chemistry, Analytical
Saeed Maadi, Sebastian Stein, Jinhyun Hong, Roderick Murray-Smith
Summary: Adaptive traffic signal control is an effective method to reduce traffic congestion. This study develops a reinforcement learning-based adaptive traffic signal control that optimizes signal plans and guides vehicle speed to minimize total stop delays and queue length. Experimental results show that the proposed method outperforms traditional actuated control and fixed timing plans under saturated and oversaturated conditions.
Article
Engineering, Civil
Md Abu Sufian Talukder, Abhay D. Lidbe, Elsa G. Tedla, Alexander M. Hainen, Travis Atkison
Summary: The paper introduces a method to improve intersection operational performance by combining vehicle trajectory data with traditional traffic signal controllers, even with limited or absent V2I communications. Through the development and simulation testing of two signal control algorithms, significant improvements were observed in terms of vehicle delay, stop delay, and queue length, outperforming existing free timing operation.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2021)
Article
Engineering, Civil
Xingju Wang, Rongqun Zhang, Yang Gou, Jiayu Liu, Lin Zhao, Yanting Li
Summary: This paper proposes a model for alleviating traffic congestion in freeway bottleneck areas using a variable speed limit control method in an intelligent connected environment. The results show that the VSL online control method in an intelligent connected environment has better control effect, especially with an increasing penetration rate of intelligent connected vehicles (ICV).
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Physics, Multidisciplinary
Ammar Jafaripournimchahi, Yingfeng Cai, Hai Wang, Lu Sun, Biao Yang
Summary: In this paper, a deterministic acceleration model is developed based on the sensor detection range to capture the car following dynamic of autonomous vehicles. A delayed-feedback control is proposed to suppress traffic congestion and increase traffic flow stability without the need for Vehicle-to-Infrastructure (V2I) communication.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Ergonomics
Guiming Xiao, Jaeyoung Lee, Qianshan Jiang, Helai Huang, Mohamed Abdel-Aty, Ling Wang
Summary: The study estimates the safety effects of Intelligent Connected Vehicles (ICVs) by market penetration rate (MPR) using meta-analysis approach, finding that conflicts decrease exponentially as MPR increases. The case study in the United States suggests that MPR is expected to rise in the future, leading to a reduction in fatal crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Transportation Science & Technology
Yu Du, Michail A. Makridis, Chris M. J. Tampere, Anastasios Kouvelas, Wei ShangGuan
Summary: This paper proposes a control method that uses connected and automated vehicles (CAVs) to improve the capacity at motorway bottlenecks. The method utilizes CAVs as dynamic actuators to perform speed coordination tasks and has been evaluated through microscopic simulation experiments on a real-case study. The results demonstrate significant improvements in reducing traffic density and improving travel speed.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Review
Chemistry, Multidisciplinary
Vittorio Astarita, Vincenzo Pasquale Giofre, Giuseppe Guido, Alessandro Vitale
Summary: This paper reviews the latest developments in traffic signal control methods based on data from smartphones or connected vehicles, highlighting the potential benefits such as the utilization of real-time positional data and better-regulated intersections. The use of scientometric tools provides insights into trending ideas and concepts in the field, helping scientists and professionals identify relevant documents for further development of new traffic signal control systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Theory & Methods
Ahmed Mostefaoui, Mohammed Amine Merzoug, Amir Haroun, Anthony Nassar, Francois Dessables
Summary: Connected vehicles can perform various measurements and transmit data to dedicated infrastructure in real time. The global number of connected cars is expected to reach 2 billion by the end of 2025, generating up to 30 terabytes of data per day. This paper presents an automotive big data platform deployed by Groupe PSA and evaluates its proposed architecture.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Engineering, Civil
Pruthvi Manjunatha, Somdut Roy, Lily Elefteriadou, Angshuman Guin, Michael Hunter
Summary: This paper evaluates the ability of microscopic simulator PTV-VISSIM to simulate connected and autonomous vehicles (CAVs) in traffic operations. It also presents a comprehensive CAV model extension and integrates emissions modeling to calculate real-time energy and emission estimates. The evaluation reveals limitations in the internal CAV modeling of VISSIM, but identifies two available interfaces for external modeling. A signalized intersection is simulated to demonstrate the impact of CV, AV, and CAV traffic on speed, delay, and travel time. The results show that CAVs improve travel time and speed, but have mixed effects on emissions.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Transportation
Xiao (Joyce) Liang, S. Ilgin Guler, Vikash V. Gayah
Summary: This paper proposes a decentralized signal control algorithm that leverages connected vehicle information to improve traffic operations. The algorithm optimizes signal timing based on real-time vehicle locations, speeds, and pedestrian waiting information, and facilitates coordination between adjacent intersections through sharing vehicle platoons information. Compared to the centralized algorithm and traditional strategy, the proposed algorithm is more computationally efficient and provides better operational performance, while being robust to different demand patterns.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Yiheng Feng, Shihong Ed Huang, Wai Wong, Qi Alfred Chen, Z. Morley Mao, Henry X. Liu
Summary: This study proposes a comprehensive analysis framework to address the cybersecurity problem in the traffic signal control system with connected vehicle technology. A case study is conducted to demonstrate the impact of data spoofing attacks and the corresponding mitigation measures.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Hossein Moradi, Sara Sasaninejad, Sabine Wittevrongel, Joris Walraevens
Summary: This paper proposes a hierarchical framework to address the challenges in network-wide traffic control using connected vehicles. By incorporating real-time information into intersection and network control, it enables accurate estimation and control of traffic conditions, leading to competitive performance indicators.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Management
Matt Grote, Tom Cherrett, Gary Whittle, Neil Tuck
Summary: Shared-fleet carrier collaborations are an effective approach to reduce inefficiencies and emissions in road freight transportation. The use of spare capacity in vehicles can significantly decrease delivery vehicle kilometers and associated pollution. A study involving local suppliers and a municipal Local Government Authority showed a 29% reduction in delivery kilometers and emissions reductions ranging from 27-36% depending on pollutant.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Andy Oakey, Matt Grote, Paul G. Royall, Tom Cherrett
Summary: This paper evaluates the current regulations for the transportation of medical products and medicines by autonomous road vehicles through an audit of existing legislation and practice. Recommendations and adaptations are proposed for regulations that are not appropriate for autonomous vehicles, in order to support safe and practical application.
Article
Social Issues
Angela Smith, Janet E. Dickinson, Greg Marsden, Tom Cherrett, Andrew Oakey, Matt Grote
Summary: This paper critically examines the research on public acceptance of drones, finding that the conflation of diverse drone applications has caused ambiguity in concerns and the absence of clear parameters for drone use in local transport environments has limited informed public opinion. Studies that build familiarity and understanding of practical drone use show potential for positive outcomes. The paper calls for further research to build understanding of drones within transport environments to facilitate more informed debates among stakeholders to shape future transport provision.
TECHNOLOGY IN SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Carolynne Lord, Oliver Bates, Adrian Friday, Fraser McLeod, Tom Cherrett, Antonio Martinez-Sykora, Andy Oakey
Summary: Online food delivery has not only increased congestion in urban centers, but it has also brought about changes in the delivery workforce through gig economy work. Assessments of the sustainability of this new system often overlook the interactions and conflicts between social, environmental, and economic sustainability. This paper aims to provide a broader understanding of sustainability and highlight the perspectives of gig economy couriers in the online food delivery system.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
Matt Grote, Aliaksei Pilko, James Scanlan, Tom Cherrett, Janet Dickinson, Angela Smith, Andrew Oakey, Greg Marsden
Summary: This study analyzed concerns and issues regarding the shared airspace concept by conducting an interactive online workshop with participants from the General Aviation (GA) community in the UK. The findings highlighted the need for aircraft to be equipped with Detect-And-Avoid (DAA) systems and the importance of developing equitable regulatory and technology environments for managing shared airspace.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Andy Oakey, Matt Grote, Angela Smith, Tom Cherrett, Aliaksei Pilko, Janet Dickinson, Laila AitBihiOuali
Summary: This paper evaluates the feasibility of integrating UAV transport of diagnostic specimens into the UK National Health Service system and identifies the related challenges and benefits. The study finds that using UAVs can reduce emissions and travel times but may increase the overall system cost.
Article
Multidisciplinary Sciences
Wanqing Zhu, Andy Oakey, Paul G. Royall, Tim P. Waters, Tom Cherrett, Katherine Theobald, Ans-Mari Bester, Robert Lucas
Summary: This study investigated the stability of cancer medicines during drone flight and found that the vibrations from the drone did not adversely affect the quality of the drugs.
Article
Engineering, Industrial
Michael Forrest, Shahram Heydari, Tom Cherrett
Summary: This paper investigates factors associated with pedestrian safety in Greater London and finds that race, school number, job density, alcohol expenditure, crime rate, children in child benefit households, average number of cars per household, proportion of green space, and percentage of adults who commute by walking are all associated with pedestrian crash frequency. The study identifies important determinates of ward-level pedestrian safety and reveals previously unknown discrepancies in pedestrian safety between boroughs in Greater London.
Article
Computer Science, Interdisciplinary Applications
Andy Oakey, Antonio Martinez-Sykora, Tom Cherrett
Summary: This paper introduces the Sustainable Specimen Collection Problem (SSCP), where diagnostic specimens are transported from GP surgeries to a hospital laboratory using more sustainable transport modes. By using a weighted objective function and cycle consolidation, this study solves a multi-objective problem to improve service quality, reduce costs and emissions. Applied to two real-world case studies in the UK, the proposed algorithm significantly improved delivery time, reduced vehicle fleets and driving time, and decreased CO2 emissions. The computational time was also reduced by 99% while achieving a 5% average deviation from optimality.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Management
Carlos Lamas-Fernandez, Antonio Martinez-Sykora, Fraser McLeod, Tolga Bektas, Tom Cherrett, Julian Allen
Summary: Based on trials conducted with carriers in London, this article proposes a last-mile delivery model that combines driving and walking. The model includes a third-party portering service for collaborative provision and shared micro-consolidation points. A tabu search algorithm is developed to address the complex routing problem, suggesting vehicle routes and porter paths that reduce overall delivery cost. Applied to two carriers in London, the model showed a potential 14% reduction in transport costs when sharing a third-party portering service.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Ismail Aydemir, Fraser McLeod, Matt Grote, Tom Cherrett
Summary: This study examines the environmental and economic benefits of shared-fleet collaboration between a local government authority and a National Health Service trust. The research analyzes a case study involving the sharing of electric courier vehicles for transporting pathology samples. The results demonstrate significant reductions in costs, carbon emissions, vehicle numbers, and duty time, highlighting the potential of shared-fleet operations in urban logistics.
Article
Remote Sensing
Katherine Theobald, Wanqing Zhu, Timothy Waters, Thomas Cherrett, Andy Oakey, Paul G. Royall
Summary: This study aimed to assess the effect of drone transportation on the quality of medicines, and the results indicated that the quality of medicines was maintained under the vibration conditions during flight.
Proceedings Paper
Computer Science, Theory & Methods
Tope Omitola, Ben Waterson, Niko Tsakalakis, Richard Gomer, Sophie Stalla-Bourdillon, Tom Cherrett, Gary Wills
Summary: The urban mobility landscape is rapidly evolving with the growth of mobility services worldwide. This has led to the concept of Mobility-as-a-Service (MaaS) which aims to provide seamless multi- and inter-modal transportation services to users. In order to promote MaaS adoption among the general population, stakeholders must have confidence in data privacy and security within the system.
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, BIG DATA AND SECURITY (IOTBDS)
(2022)
Article
Remote Sensing
Matt Grote, Aliaksei Pilko, James Scanlan, Tom Cherrett, Janet Dickinson, Angela Smith, Andy Oakey, Greg Marsden
Summary: The UAV industry is expanding rapidly, leading to challenges in sharing airspace with existing crewed aircraft activities. Stakeholder engagement is crucial for the co-development of a shared airspace solution that is widely acceptable. Key issues include the need for a reliable detect-and-avoid system and support from the wider aviation community.
Review
Remote Sensing
Matt Grote, Tom Cherrett, Andrew Oakey, Paul G. Royall, Simon Whalley, Janet Dickinson
Summary: Commercial operations of UAVs are expanding, with a focus on medical logistics in health service supply chains. Regulations for transporting Dangerous Goods by air need to be reevaluated to fully exploit UAVs in safe medical supply chain operations.