Multivariate Platoon Dispersion Modeling and Signal Coordination with A Predicted Platoon Max-Pressure Policy

This research aims to describe the evolution of platoon vehicle speed distribution parameters and platoon characteristics change quantitatively, and utilize this information to develop advanced signal timing strategies for urban arterials that could handle platoon traffic effectively. Real platoon vehicle speed data was collected. Combined with data from simulation, the speed distributions for both homogeneous and heterogeneous traffic flow were studied. The speeds follow a truncated normal distribution for homogeneous flow and a Gaussian mixture model for heterogeneous flow. The factors that influence the parameters of the truncated normal distribution were identified and a multivariate distribution parameter model was built to describe the relationship between distribution parameters and influencing factors mathematically. A modified platoon dispersion model is developed based on the previous model. The multivariate model and the modified platoon dispersion model are proved to predict downstream speeds quite well, as model validation suggests. Based on the previous model development, a novel signal timing strategy, the Predicted Platoon Max-Pressure Policy is developed. The policy utilizes the information calculated from previous models and adjust signal timing for each approach of each intersection on the arterial in real time. The performance of the proposed policy is evaluated and compared with traditional methods in simulation. Results show that the proposed policy greatly improves all measures of effectiveness, from 15% to 50% under various scenarios. The practicality of the Predicted Platoon Max-Pressure Policy is further examined in different conditions. Simulation results prove that the policy has great potential in implementation in the real world

Proceedings of the 3rd International Conference on Models and Technologies for Intelligent Transportation Systems 2013

Challenges arising from an increasing traffic demand, limited resource availability and growing quality expectations of the customers can only be met successfully, if each transport mode is regarded as an intelligent transportation system itself, but also as part of one intelligent transportation system with “intelligent” intramodal and intermodal interfaces. This topic is well reflected in the Third International Conference on “Models and Technologies for Intelligent Transportation Systems” which took place in Dresden 2013 (previous editions: Rome 2009, Leuven 2011). With its variety of traffic management problems that can be solved using similar methods and technologies, but with application specific models, objective functions and constraints the conference stands for an intensive exchange between theory and practice and the presentation of case studies for all transport modes and gives a discussion forum for control engineers, computer scientists, mathematicians and other researchers and practitioners. The present book comprises fifty short papers accepted for presentation at the Third Edition of the conference. All submissions have undergone intensive reviews by the organisers of the special sessions, the members of the scientific and technical advisory committees and further external experts in the field. Like the conference itself the proceedings are structured in twelve streams: the more model-oriented streams of Road-Bound Public Transport Management, Modelling and Control of Urban Traffic Flow, Railway Traffic Management in four different sessions, Air Traffic Management, Water Traffic and Traffic and Transit Assignment, as well as the technology-oriented streams of Floating Car Data, Localisation Technologies for Intelligent Transportation Systems and Image Processing in Transportation. With this broad range of topics this book will be of interest to a number of groups: ITS experts in research and industry, students of transport and control engineering, operations research and computer science. The case studies will also be of interest for transport operators and members of traffic administration

Computer Controlled Urban Transportation: A Survey of Concepts, Methods, and International Experiences

This book is concerned with the present and future traffic problems in the developing and developed world. It examines possible solutions to those problems based on technological innovations and implementing large-scale computerized traffic and transportation control systems. It discusses the basic concepts and methods for control and automation that have been proposed, developed, and implemented, and experience from real applications of these in different cities and nations

International Conference on Civil Infrastructure and Construction (CIC 2020)

This is the proceedings of the CIC 2020 Conference, which was held under the patronage of His Excellency Sheikh Khalid bin Khalifa bin Abdulaziz Al Thani in Doha, Qatar from 2 to 5 February 2020. The goal of the conference was to provide a platform to discuss next-generation infrastructure and its construction among key players such as researchers, industry professionals and leaders, local government agencies, clients, construction contractors and policymakers. The conference gathered industry and academia to disseminate their research and field experiences in multiple areas of civil engineering. It was also a unique opportunity for companies and organizations to show the most recent advances in the field of civil infrastructure and construction. The conference covered a wide range of timely topics that address the needs of the construction industry all over the world and particularly in Qatar. All papers were peer reviewed by experts in their field and edited for publication. The conference accepted a total number of 127 papers submitted by authors from five different continents under the following four themes: Theme 1: Construction Management and Process Theme 2: Materials and Transportation Engineering Theme 3: Geotechnical, Environmental, and Geo-environmental Engineering Theme 4: Sustainability, Renovation, and Monitoring of Civil InfrastructureThe list of the Sponsors are listed at page 1

General Undergraduate Catalog, 2012-2013

Marshall University Undergraduate Course Catalog for the 2012-2013 academic year.https://mds.marshall.edu/catalog_2010-2019/1007/thumbnail.jp

Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios

General Undergraduate Catalog, 2011-2012

Marshall University Undergraduate Course Catalog for the 2011-2012 academic year.https://mds.marshall.edu/catalog_2010-2019/1008/thumbnail.jp

General Undergraduate Catalog, 2015-2016

Marshall University Undergraduate Course Catalog for the 2015-2016 academic year.https://mds.marshall.edu/catalog_2010-2019/1004/thumbnail.jp

General Undergraduate Catalog, 2016-2017

Marshall University Undergraduate Course Catalog for the 2016-2017 academic year.https://mds.marshall.edu/catalog_2010-2019/1003/thumbnail.jp