Mixed-traffic (e.g., pedestrians, bicycles, and vehicles) data at an intersection is one of the essential factors for intersection design and traffic control. However, some data such as pedestrian volume cannot be directly collected by common detectors (e.g. inductive loop, sonar and microwave sensors). In this paper, a video based detection algorithm is proposed for mixed-traffic data collecti...

In this paper we study the interaction patterns among traffic from different application classes, namely, how they collaboratively form a mixed traffic activity graph (mixed TAG). Utilizing real traffic traces from a major ISP and a large university network, we show that densely connected subgraphs or clusters are the building blocks for a mixed TAG. These subgraphs can be either dependent or i...

Background: Human factors have the most significant effects on the occurrence of traffic accidents among the three factors of human, road, and vehicle. The driver is a significant traffic safety concern. Interventions that enhance driver’s safety are required. Risky behaviors of drivers on the road influence physical healthy and personality. The aim of this study is to report the protocol...

In this paper we extend the Lighthill-Whitham-Richards kinematic wave traffic flow model to describe traffic with different types of vehicles, where all types of vehicles are completely mixed and travel at the same group velocity. A study of such a model with two vehicle classes (e.g., passenger cars and trucks) shows that, when both classes of traffic have identical free-flow speeds, the model...

It is urgent to understand the traffic performance by modelling traffic streams under mixed traffic conditions, in which motorcycles contribute to a dominant rate of the total traffic composition. This study aims to analyze the interactions between the left-turn and the opposite straight-through vehicles and estimate the capacity of both flows. An attempt is made to develop a social force model...

In this article, we propose a macroscopic model for studying routing on networks shared between human-driven and autonomous vehicles that captures the effects of forming platoons. We use to study inefficiency due selfish bound price anarchy (PoA), maximum ratio total delay experienced by users minimum possible delay. To do so, establish two road capacity models, each corresponding an assumption...

This study introduces a methodology for cooperative signal timing and trajectory optimization at intersections with mix of connected automated vehicles (CAVs) human-driven (HVs). We represent joint control as mixed-integer non-linear program, which is computationally complex. The developed provides balance between computational efficiency solution quality by (a) linearizing the nonlinear constr...

We develop a macroscopic model for mixed urban and freeway traffic networks that is particularly suited for control purposes. In particular, we use an extended version of the METANET traffic flow model to describe the evolution of the traffic flows in the freeway part of the network. For the urban network we propose a new model that is based on the Kashani model. Furthermore, we also describe t...

In this paper, delay/buffer control for mixed traffic (DBCM) using feedback control is proposed to provide quality of service (QoS) such as delay and packet loss for mixed traffic in high-speed communication networks. Mathematical models are suggested to describe networks including real-time traffic (RTT) and non-real-time traffic (NRT) sources. DBCM directly controls delay to meet strict delay...