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With the evolving demand for sustainable mobility, adequate charging infrastructure for electric vehicles (EVs) has been growing steadily and wireless power transfer (WPT) technology has been seen as an efficient alternative for EV charging while maintaining seamless traffic flow. This paper reviews the modelling challenges in terms of both static (plug-in) charging (SC) and wireless charging (WC) facilities in a transportation network in terms of system integration, focusing on the evolution of the WPT technology. The first part of the paper provides an overview of all the major progress and achievements made by different research organisations in the area of WPT technology for EV charging. These technologies are ranked based on two indices, namely technological readiness level and system readiness level. The optimal location of WC facilities comes with more design and operational issues than conventional static charging facilities. However, they are similar in terms of the infrastructure modelling approach to locate these charging facilities, as the overall goal is to maximise the network flow and minimise the overall system cost. The second part of the paper assesses different modelling approaches used to analyse the network and locate the charging infrastructure for static and WC facilities. The economic feasibility of the technology is an important consideration for successful system integration as well as the overall performance of the system. As such, this paper also provides a synopsis of different socio-economic studies related to the WC infrastructure allocation problem. Finally, future research directions in this field are discussed based on the knowledge gaps identified from the existing literature. [ABSTRACT FROM AUTHOR]

Saturation flow is a very important input variable for the design of signalized intersections. Saturation flow measurement is well established for homogeneous traffic. However, saturation flow measurement and modeling is a challenging task in heterogeneous characterized by multiple vehicle types and non-lane based movement. Present study focuses on proposing a field procedure for Saturation flow measurement and the effect of typical mixed traffic behavior at the signal as far as non-lane based traffic movement is concerned. Data collected during peak and off-peak hour from five intersections with varying approach width is used for validating the saturation flow model. The insights from the study can be used for modeling saturation flow and delay at signalized intersection in heterogeneous traffic conditions. [ABSTRACT FROM AUTHOR]

• Calibration, and validation of a part of Auckland traffic network using AIMSUN. • Estimation of dynamic wireless charging length requirement in a traffic corridor. • Impact of traffic and energy parameters on the wireless charging length requirement. • Financial feasibility of DWC system with the plug-in charging system. Urbanization and the need to improve green mobility have paved the way for electric vehicle (EV) adoption that reduces greenhouse gas emissions. Investors have a critical role in incentivizing charging infrastructure to meet EV's charging needs immediately. Dynamic wireless charging (DWC) offers a viable solution to mitigate issues related to the limited driving range, higher battery capacity (resulting in higher cost), and longer charging time of EVs. This paper examines the impact of a DWC-based electric road system (ERS) on EV flow and energy consumption. A traffic simulation-based methodological framework is developed to evaluate the effect of DWC facilities on road networks. A case study is conducted for the Auckland motorway network using various scenarios to evaluate the performance of the ERS, including the financial feasibility of the DWC system compared with the existing plug-in charging system. It provides insights into the minimum length of DWC facilities and the spatial and temporal variations in energy demand, which can be helpful to public and private stakeholders in deciding the optimal strategy to implement DWC in transportation networks on a large scale. [ABSTRACT FROM AUTHOR]