Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset

Autonomous vehicles (AVs) are being introduced to the traffic system with the promise of improving current traffic status. However, the empirical data also indicate contrary effects with estimated higher crash rate and change of crash patterns. Therefore, it is necessary to investigate the driving behavior of AVs and human-driven vehicles ...

Analysis of Stochasticity and Heterogeneity of Car-Following Behavior Based on Data-Driven Modeling

Traffic dynamics on freeways are stochastic in nature because of errors in perception and operation of drivers as well as the heterogeneity between and within drivers. This stochasticity is often represented in car-following models by a stochastic term, which is assumed to follow a normal distribution for the convenience of mathematical...

Free Flow Capacity and Queue Discharge Rate: Long-Term Changes

Traffic jams are caused by a traffic demand that exceeds road capacity. Road capacity, therefore, is an important road feature. This capacity might change as function of time, even for the same road stretch, owing to changing driving behaviors or vehicle characteristics. In this study, we empirically analyzed the changes in road capacity over a...

A methodology for road traffic resilience analysis and review of related concepts

Major and minor disturbances can have a considerable impact on the performance of road networks. In this respect, resilience is considered as the ability of a road section to resist and to recover from disturbances in traffic flow. In this contribution, an indicator is presented, the Link Performance Index for Resilience (LPIR), which evaluates...

Capacity drops at merges: Analytical expressions for multilane freeways

This paper deals with the derivation of analytical formulae to estimate the effective capacity at freeway merges in a multilane context. It extends two previous papers that are based on the same modeling framework but that are restricted to a single lane on the freeway (or to the analysis of the right lane only). The analytical expression for...

Human factors of automated driving: Towards predicting the effects of authority transitions on traffic flow efficiency

Multi-class continuum traffic flow models: Analysis and simulation methods

How to model and simulate traffic flow including different vehicles such as cars and trucks? This dissertation answers this question by analyzing existing models and simulation methods and by developing new ones. The new model (Fastlane) describes traffic as a continuum flow while accounting for different types of vehicles. It is reformulated in...

Reducing travel delay by in-car advice on speed, headway and lane use based on downstream traffic flow conditions - a simulation study

A new advisory ADAS system is implemented in micro simulation to asses the effects on traffic flow as well as on safety. The system uses loop detector data from which situations may be recognized where advices are given to drivers in-car. Advice is given on speed, headway and lane use. Effectively the system allows drivers to respond to...

Fastlane: Traffic flow modeling and multi-class dynamic traffic management

Dynamic Traffic Management (DTM) aims to improve traffic conditions. DTM usually consists of two steps: first the current traffic is estimated, then appropriate control actions are determined based on that estimate. In order to estimate and control the traffic, a suitable traffic flow model that reproduces the properties of traffic well must be...

A bird's eye view of the shipping traffic on the north sea

The absence of information on the North Sea Shipping traffic flows in general and on the Dutch part of the continental shelf in particular caused the North Sea Directorate of Rijkswaterstaat to initiate an aerial observation project, called 'Verkeers Onderzoek Noordzee Visuele Identificatie (VONOVI)' or 'North Sea traffic analysis by visual...