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Many intelligent transportation systems (ITS) in cities with developed economies are making use of mobile technology as data sources (e.g., many crowd-sourced traffic-related applications) to improve the quality and efficiency of transportation networks. Often, these data sources are used to supplement existing traffic monitoring equipment (e.g., ground-loop detectors, traffic cameras), to provide...
The economic feasibility and infrastructure optimization of in-motion wireless power transfer (WPT) in the U.S. is evaluated using dynamic vehicle models integrated with GPS stamped real world drive cycle data. Results show total vehicle level savings greater than the WPT electric vehicle (EV) purchase price with a societal level infrastructure payback time of 11.3 years at 25% fleet penetration for...
In this paper, a new type of distributed permutation flow-shop scheduling problem (DPFSP) is proposed, in which different transport timetable and different loading capacity for each factory are considered. Under this model generalization, we assume that there are a total of F different factories and then a sequence has to be calculated for the jobs assigned to each factory. We also assume that the...
The fleet composition forecasted to the year 2020 for the new portion of light and medium duty vehicles (LMDV) in Metro Vancouver is analyzed. Sixteen scenarios of zero tailpipe emission Electric Vehicle (EV) penetration in the new fleet were investigated. These scenarios focus on electricity and hydrogen. The study assesses the efficiency of EV technologies, quantifies the electric transportation...
Multi-modal transportation planning refers to traffic analysis that considers various modes of transportation mechanisms such as walking, cycling, motorcycles, private passenger vehicles, delivery cargo vehicles, public transportation modes like buses or trains, etc. Effective city traffic planning has become a challenging task involving complex behavioral analysis of multi-modal traffic scenarios...
Smart transportation is one aspect of the smart city. Because the low efficiency, the transportation has became the second largest industry of carbon emissions. It's not only affect the smart transportation, but also affect the smart environment. So, improve the efficiency of the transportation is very important to the smart transportation and smart city. The logistics platform is a new business model,...
In this paper, we propose a deterministic optimization model for selecting and scheduling a fleet of buses in a private transportation system where buses are to be assigned to serve employees and their families on different trips along different routes from the main campus and residential compound. The paper describes the development of an integer programming formulation as a tool to help in the decision...
Drawing perspectives from science and technology studies, philosophy of science, and literature from ethics and social justice, this paper examines the promises and challenges in the development of self-driving vehicle (SDV) technology. We start with the premise that the combination of different computing technologies embedded in SDVs is a powerful tool for efficiency in communications, information...
This paper presents an approach of DC level 1 charging of an electric vehicle (EV) or plug-in hybrid electric vehicle (PHEV) making use of standalone solar photovoltaic (PV) system. In this approach it is proposed to use the DC power generated by solar panels to directly charge EV traction battery pack using solar MPPT controller algorithm and CHAdeMO DC fast charging protocol. A supervisory control...
Road congestion is a complex, significant and continuing problem. This project is concerned with urban road systems and traffic light control. The objective is to create a novel traffic controller which uses available forward road capacity (AFRC) detection and locality awareness in conjunction with existing backpressure methods as a means to reduce the duration of congestion. The controller is an...
Intelligent traffic has been widely used in our society. However, many problems of intelligent transportation system are becoming more and more obvious. The emergence of the Internet of things provides a new technology platform for the realization of intelligent transportation. In this paper, we discuss the principle and technology of the Internet of things in the application of intelligent transportation...
Optimally locating a transportation facility and automotive service enterprise is an interesting and important problem. In practice, many related factors, e.g., customer demands, allocations, and locations of customers and facilities, are changing, and thus the problem features with uncertainty. To account for this uncertainty, some researchers have addressed its stochastic time and cost issues. A...
In this paper an automated vehicle detection and traffic density estimation algorithm has been developed and validated for very high resolution satellite video data. The algorithm is based on an adaptive background estimation procedure followed by a background subtraction at every video frame. The vehicle detection is performed through a further mathematical morphology and statistical analysis on...
Driver drowsiness may cause traffic injuries and death. In literature, various methods, for instance, image-based, vehicle-based, and biometric-signals-based, have been proposed for driver drowsiness detection. In this paper, a new approach using Electrocardiogram is discussed. Performance evaluation is carried out for the driver drowsiness classifier. The developed classifier yields overall accuracy,...
The commercial success of electric vehicles (EVs) relies heavily on the presence of high-efficiency charging stations. This paper provides an overview and a comprehensive performance comparison of the present status and future implementation plans for DC fast charging infrastructures and converter topologies. The paper also discusses critical consequences of DC fast charging stations on the AC grid...
Transmission timing and delay between communicating vehicles are two important performance measures for safety-critical applications of Vehicular Ad-Hoc Networks (VANETS). Safety-Critical VANETS are composed of multiple nodes each requiring access to a shared communication medium. This access is controlled by the Medium Access Control (MAC) protocol. Numerous MAC protocols have been proposed for VANETS,...
This paper presents the first phase of a methodology for making transportation decisions in the Supply Chain (SC), in the first part of this article are the importance of transactional costs in transportation and their decision levels. Then interrelationships and dependencies of the criteria in Transportation Logistics Function (TLF). Finally presents design of the Multicriteria Decision Network (MCDN),...
Transportation hub networks are important for many large-scale logistics and supply chain systems. Basic hub location models rely on some key assumptions about the transportation cost that limits their practicality We present a new model for hub location and network design that uses fixed and variable transportation costs on all arcs, fixed costs for hubs, and also allows direct arcs. This approach...
Drivers Information Systems (DIS) are rapidly improving transportation systems in Africa and all over the world such as Sri-Lanka. It is currently being implemented in Nigeria, these DIS and its other variants are improving the quality of transportation in countries. These variants include online vehicle registration, electronic payment of fines and electronic toll collection services. Nigeria as...
The transportation ecosystem is currently in a transition phase from non-electrified to electrified, from isolated to connected, and from non-automated to automated. During this transition new disruptive technologies replace existing ones but quickly become obsolete themselves. Safety and efficiency become even more important as the driver has less input into driving decisions and more difficult to...
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