With the arrival of autonomous and connected vehicles, it remains unclear how automation connectivity will impact energy consumption electric vehicles. Here, we report impacts induced by these emerging technologies on vehicles in a realistic urban environment based high-resolution empirical data high-fidelity simulations. We find that, contrary to optimistic predictions, automated (AVs) alone fact increase compared with human-driven (HDVs) complicated (e.g., distributed signalized...

Amid escalating energy crises and environmental pressures, electric vehicles (EVs) have emerged as an effective measure to reduce reliance on fossil fuels, combat climate change, uphold sustainable development, strive towards carbon peaking neutrality goals. This study introduces a nonlinear integer programming model for the deployment of dynamic wireless charging lanes (DWCLs) EV strategy joint optimization in highway networks. Taking into account established resources service areas (HSAs),...

Swap charging (SC) technology offers the possibility of swapping batteries electric vehicles (EVs), providing a perfect solution for achieving long-distance freeway trip. Based on SC technology, shared system (SSCS) concept is proposed to overcome difficulties in optimal swap battery strategies large number EVs with requests and consider variance rate simultaneously. To realize SSCS design, binary integer programming model developed balance tradeoff between detour travel cost total recharge...

Accurate transfer time prediction and future information are important for both public transport operators passengers. However, existing studies cannot effectively manage high-dimensional data, capture the complex nonlinearity of time, or provide accurate information. This study provides a reliable model called low-rank Bayesian temporal matrix factorization (LBTMF) to address these challenges. First, on basis spatiotemporal we develop temporal-regularized factorization-based imputation...

This paper presents a novel algorithm for nighttime detection of the lane markers painted on road at night. First all, proposed uses neighborhood average filtering, 8-directional Sobel operator and thresholding segmentation based OTSU's to handle raw images taken from digital CCD camera. Secondly, combining intensity map gradient map, we analyze distribution features pixels boundaries lanes in construct 4 feature sets these points, which are helpful supply with sufficient data related detect...

Since emergency vehicles (EMVs) in urban transit systems play a crucial role responding to time-critical events, the quick response of EMVs is essential for improving success rate rescue operations and minimizing property loss. Booming connected vehicle (CV) technology provides new perspective further enhance effectiveness EMV priority. Based on this CV technology, we propose cooperative multiple priority model which speed, acceleration, lane changing actions both surrounding ordinary (OVs)...

In this study, optimal reactive power regulation in distribution networks is achieved through the use of distributed regulators that can 1) perceive their own voltage magnitude and P/Q flows connected branches, 2) communicate with nearby regulators, 3) adjust injections into grid to minimize system losses maintain bus voltages loads. Compared many existing strategies, proposed method estimate unmeasurable load buses within limitations. Furthermore, releases hardly angle requirement, which...

<abstract> <p>Most existing public transit systems have a fixed dispatching and service mode, which cannot effectively allocate resources from the perspective of interests all participants, resulting in resource waste dissatisfaction. Low passenger satisfaction leads to considerable loss bus passengers further reduces income operators. This study develops an optimization model for schedules that considers vehicle types offers two levels based on heterogeneous demands. In this...

<abstract> <p>The risk of injury and death in traffic accidents for passengers the back front seats can be reduced by utilizing safety belts. However, use seatbelts far less frequently than those front. More investigation is therefore required into psychological constructs that affect individuals' attitudes toward using seat In this study, four models were used to analyze individual intentions actual belt use: standard theory planned behavior (TPB); prototype willingness model...

This paper proposes a dynamic-decision-based real-time dispatch method to coordinate the economic objective with multiple types of security objectives while reducing constraint violations in process adjusting system operation point optimum. In each decision moment, following tasks are executed turn: ① locally linearizing model at current online identification by using measurements; ② narrowing down gaps between unsatisfied requirements and their thresholds order priority;...

Ward's method is an effective for classification of power system load characteristics. In view the limitations traditional which can only reduce number clusters through amalgamating, improved measure to optimize cluster result based on TABU search put forward along with a statistical guide clustering process and test results. this paper, daily curve used as feature vector, while find suitable clusters. The results are optimized by means search. A case curves 744 days in Guangzhou shows...

The intelligent decision-making of Centralized Control Center Substation (CCCOS) for accident treatment contributes to the self-healing and reliable supply power system, which deals with operation maintenance gird directly. In this background, a novel decision system based on CCCOS is proposed in paper. At first, differences among substation, centralized control center dispatching are compared. framework constructed, then principle method main function model such as alarm processing, fault...

To forecasting a reasonable size of the future road network in Guang dong Province, this paper respectively use multivariate linear regression prediction method and gray to predict. Then make combination accordance with smallest error sum squares principles. Ultimately determine total demand for highway construction Province. Through analysis, results show that methods can effectively reduce errors improve accuracy.

Almost all the highways in China are operating by way of closed fees, and construction level expressway communication network is high. In order to improve operational capacity network, according technical features PON analysis on technology composition structure current Guang dong it put forward using passive optical construct network. And take Xintai as an example make theoretical calculation, which proved that used for feasible.

In this study, the total active power losses in distribution networks is minimized by a purely local voltage control strategy based on synchronized phasor measurements, where each distributed generator considered as controller who can only percept its own magnitude and phase angle. Controllers adjust their reactive injection to grid order minimize system keep bus voltages within limitations. Simulation cases validate that, proposed method achieve global optimum solution of loss minimization...

This paper presents a real-time dispatch strategy for coupled transmission and distribution systems within distributed cooperative control framework to maintain reliable secure operation with minimum generation costs maximum renewable energy consumption. The presented transforms each system into dispatchable active source via an average-consensus-based power of resources (DERs) at the level then dispatches reference conventional generators as well in measurement-based way level. voltage...