Predictive models for vehicle energy consumption are crucial for sustainable development in
urban road traffic systems. This paper comprehensively reviews classic predictive models …

The use of electric vehicles (EVs) is viewed as an attractive option to reduce CO 2 emissions
and fuel consumption resulted from transport sector, but the popularization of EVs has been …

The limited drive range (The maximum distance that an EV can travel.) of Electric Vehicles
(EVs) is one of the major challenges that EV manufacturers are attempting to overcome. To …

With the objectives of achieving “peak carbon” and “carbon neutrality”, accurately
quantifying the carbon emissions of road transportation becomes crucial. It is challenging to …

A novel computational model for the volatile state was developed to improve eco-driving in
intelligent transportation systems (ITS). First, the volatile state was divided into eight types …

Electric vehicle (EV) energy consumption is variable and dependent on a number of external
factors such as road topology, traffic, driving style, ambient temperature, etc. The goal of this …

Promoting the usage of electric vehicles (EVs) is viewed as an effective way to develop
sustainable transportation. Accurate energy consumption estimation is the key to plan …

Fuel power consumption for light duty vehicles has previously been shown to be
proportional to vehicle traction power, with an offset for overhead and accessory losses. This …

Analyzing the energy consumption for road entities and the corresponding driving behaviors
are critical tasks for the realization of public traffic with a low energy cost and high efficiency …

Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …