In recent years, autonomous vehicles (AVs), which observe the driving environment and
lead a few or all of the driving tasks, have garnered tremendous success. The field of AVs …

As the number of bicyclists in urban areas continues to increase, the need to realistically
model the movement and interactions of bicyclists is rapidly gaining importance in the …

As 'greening'of all aspects of human activity becomes mainstream, transportation science is
also increasingly focused around sustainability. Modal co-existence between motorised and …

The area of traffic flow modelling and analysis that bridges civil engineering, computer
science, and mathematics has gained significant momentum in the urban areas due to …

This paper aims to develop an improved cellular automata (ICA) model for simulating
heterogeneous traffic in work zone. The proposed ICA model includes the forwarding rules …

For improving the stability of heterogeneous traffic flow in smart grids, the Multi-Lane Multi-
Vehicle State Information Index Smoothing Fusion Car following model in the context of …

This paper presents a methodological approach to traffic condition recognition, based on
driving segment clustering. Traffic condition recognition has many applications to various …

Operational cycling behaviour is greatly understudied, even lacking a definition of what this
behavioural level actually entails in terms of decision making. In this paper, we define the …

In this paper, a new cellular automata model is proposed to simulate the car and bicycle
heterogeneous traffic on urban road. To capture the complex interactions between these two …

Abstract Spaces for cycling on urban streets are usually limited especially when on-street
parking vehicles exist. As bicycle flow increases, some bikes are forced to run closely to …