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Although the impact of carbon emissions regulations is evident to upstream automakers, their influence on downstream B2C car-sharing platforms remains unclear. This article reveals the influence of carbon emission regulations on the performance of supply chain members. In particular, we focused on the decision of B2C car-sharing platforms.

We develop a three-stage dynamic game model consisting of an automaker, a B2C car-sharing platform and consumers.

The carbon emission cap has a critical threshold. Above this threshold, the regulation is ineffective for the platform’s operating model. Below it, the regulation affects the platform, moderated by customers' green awareness. The threshold initially decreases (weakly) and then increases in awareness. Effective caps reduce profits for the manufacturer, B2C car-sharing platform and supply chain, while ineffective caps see higher profits with increased awareness.

Firstly, this paper explores the impact of carbon emission caps on the operational strategies of B2C car-sharing platforms within the sharing economy, complementing existing research. Secondly, it identifies conditions where stricter caps prompt B2C car-sharing platforms to adjust their operational models and offers fresh insights for managers and departments responsible for carbon emission policy formulation. Thirdly, the study uncovers how carbon emission caps affect the performance of supply chain members, providing crucial managerial insights for sustainable operations.

The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism models.

The expert diagnosis system utilizes statistical and deep learning methods to model the real-time status and historical data features of rail vehicle. Based on data mechanism models, it predicts the lifespan of key components, evaluates the health status of the vehicle and achieves intelligent monitoring and diagnosis of rail vehicle.

The actual operation effect of this system shows that it has improved the intelligent level of the rail vehicle monitoring system, which helps operators to monitor the operation of vehicle online, predict potential risks and faults of vehicle and ensure the smooth and safe operation of vehicle.

This system improves the efficiency of rail vehicle operation, scheduling and maintenance through intelligent monitoring and diagnosis of rail vehicle.

The purpose of this paper is to develop a capacitance vehicle weighing device. The key part of this device is the capacitance vehicle weighing sensor. This paper discusses the static and dynamic performance test of capacitance vehicle weighing sensor with emphasis, and provides theoretical analysis, in order to provide the tests and theoretical basis for the popularization and application of the vehicle weighing device.

The paper gives an introduction to the weighing sensor in respects of the structure design and measuring principles, with the emphasis on the static and dynamic performance of the testing processes. Then, the paper provides the corresponding testing processes and data with theoretical analysis.

This weighing sensor can be applied to static as well as dynamic tests thus the capacitance vehicle weighing device is practical and worthy of promotion and popularization.

The capacitance vehicle weighing device is characterized by its simple structure, simple measuring circuits, strong reliability in anti‐interference, small size and low cost. The static performance is of little repetitive error, and the use of software may efficiently solve the problems of non‐linearity and hysteresis. In dynamic measurement, the speed, acceleration and vibration of the vehicle produce little effect on the result, which can be neglected, thus being able to overcome the disadvantages of the traditional weighing method which is of low speed and great errors.

In a modern business environment, employees are a key resource to a company. Hence, the competitiveness of a company depends largely on its ability to treat employees fairly. Fairness can be attained by using the load‐balancing methodology. Develops an integer programming model for vehicle routing problems. There are two objectives, first, to minimize the total distance, and second, to balance the workload among employees as much as possible. We also develop a heuristic algorithm to solve the problems. The findings show that the proposed heuristic algorithm performs well to our 11 test cases.

In this paper, two omni‐directional mobile vehicles are designed and controlled implementing distributed mechatronics controllers. Omni‐directionality is the ability of mobile vehicle to move instantaneously in any direction. It is achieved by implementing Mecanum wheels in one vehicle and conventional wheels in another vehicle. The control requirements for omni‐directionality using the two above‐mentioned methods are that each wheel must be independently driven, and that all the four wheels must be synchronized in order to achieve the desired motion of each vehicle.

Distributed mechatronics controllers implementing Controller Area Network (CAN) modules are used to satisfy the control requirements of the vehicles. In distributed control architectures, failures in other parts of the control system can be compensated by other parts of the system. Three‐layered control architecture is implemented for; time‐critical tasks, event‐based tasks, and task planning. Global variables and broadcast communication is used on CAN bus. Messages are accepted in individual distributed controller modules by subscription.

Increase in the number of distributed modules increases the number of CAN bus messages required to achieve smooth working of the vehicles. This requires development of higher layer to manage the messages on the CAN bus.

The limitation of the research is that analysis of the distributed controllers that were developed is complex, and that there are no universally accepted tool for conducting the analysis. The other limitation is that teh mathematical models of the mobile robot that have been developed need to be verified.

In the design of omni‐directional vehicles, reliability of the vehicle can be improved by modular design of mechanical system and electronic system of the wheel modules and the sensor modules.

The paper tries to show the advantages of distributed controller for omni‐directional vehicles. To the author's knowledge, that is a new concept.

The purpose of this paper is to develop a new wheel control scheme for wheeled vehicle with passive linkage mechanism which realizes high step‐overcoming performance.

Developing wheeled vehicle realizes omni‐directional motion on flat floor using special wheels and passes over non‐flat ground using the passive suspension mechanism. The vehicle changes its body shape and wheel control references according to ground condition when it runs over the rough terrain.

Utilizing the proposed wheel control scheme, the slip ratio and the disturbance ratio of the wheel reduce when the vehicle passes over the step and its step‐overcoming performance is improved.

The paper's key idea is modification of its kinematic model referring to the body configuration dynamically and using this model for wheel control of the vehicle. The controller adjusts the wheel control references when the vehicle passes over the rough terrain changing the body shape and reduces the slippage and the rotation error of wheels.

According to the nature and source of alternative energy, types of new energy vehicle include hybrid electric vehicle, pure electric vehicle, fuel cell vehicles, natural gas vehicle, coal‐to‐alcohol vehicle, bio‐fuel vehicle, clean diesel vehicle and so on. At present, all kinds of new energy vehicle are flourishing, but in the near future it is not sure what kind of new energy vehicle that national policies will support, so the risk of new energy vehicle project is large. This paper aims to address this issue.

Grey target decision‐making mainly was used in the choice of programs. First, the decision‐making matrix and the index weight are determined after establishing the decision‐making index system; then the positive clout and the negative clout are determined; the distance to the positive clout and the negative clout for every decision‐making program are calculated; finally, the composite distance to clout is obtained and programs sorted in light of the size of composite distance to target centre.

This paper analyzed the operating conditions of new energy vehicle in Zhengzhou and Xinxiang; and then elaborated the modelling steps of weighted grey target decision with both the positive clout and the negative clout, and used in recent decision‐making the new energy vehicle in Henan Province. It not only makes more comprehensive and rational decision‐making, but also extends the application of the grey target decision model in practice.

In the recent two years of formulating national and local relevant preferential policies, the enthusiasm of enterprises to participate and the level of consumer awareness are further improved; as an international trend, the development of a new energy vehicle is inevitable.

It helps to make scientific decision‐making. The study proposes a theoretical guidance to carry out the new energy vehicle project in Henan Province.

This paper elaborates the modelling steps of weighted grey target decision‐making based on positive clout and negative clout, and established the model of grey target decision‐making according to the selected index; finally, it analyzes the recent development route of a new energy vehicle in Henan Province and puts forward some suggestions.

The objective of this paper is to evaluate the potential sustainable transportation strategies for Cairo in terms of their impact on emissions over the next ten years. The considered strategies include using cleaner fuel, implementing inspection and maintenance programs and adopting emission standards for new vehicles.

The strategies were evaluated in terms of the expected reductions of particulate matter (PM) and ozone precursors due to the future implementation. Emissions were estimated utilizing a mix of the relevant national and international. Accordingly, a three‐phase integrated strategy is recommended, considering the local technical and institutional aspects.

In case of no actions taken, emissions of PM and ozone precursors could increase at the year 2013 by 95 and 50 percent, respectively. Implementing the proposed integrated strategy could result in reducing the emissions of PM and ozone precursors by about 53 and 49 percent, respectively.

The proposed strategy is applicable because the targets are set considering the local aspects. However, the estimated emission reductions could almost compensate for the increase in the fleet size over the time. Therefore, achieving real reductions of emissions requires additional strategies to be considered.

Owing to the lack of local emission factors and measurements, this original work highlights the expected impacts of the potential strategies for controlling vehicle emissions in Cairo. Also, the findings indicate the need to consider other additional strategies in the long term planning process.

In some developing countries, vehicles are often over‐loaded, which causes road accidents and damage to road surfaces. Currently, large measuring facilities are used to measure the vehicle‐loading on highways. A major limitation is that they can measure vehicle‐loading at fixed locations only. This paper seeks to present an on‐vehicle loading measurement system with capacitance and acceleration transducers.

A description and analysis of the system are presented.

The capacitance transducers sense the variation in distance between electrodes, using the on‐vehicle leaf springs as weighing elastomers. The acceleration transducers deal with the influence of acceleration to vehicle‐loading measurement. The major advantage of this system over the existing systems is that both static and dynamic loading can be measured.

This system is simple and easy to install.

The paper shows that with this system both a driver and an inspector can check vehicle‐loading at any time and any location through radio communication, thus identifying over‐loaded vehicles on highways.