Developing Extended Trajectory Database for Heterogeneous Traffic like NGSIM Database

The present work introduced a framework of developing comprehensive extended vehicular trajectory data under heterogeneous non-lane-based traffic conditions like the NGSIM datasets in the United States. Due to the absence of automation and instrumentation, and even the lack of sensor deployment on roads in developing economies like India, it...

Modeling vehicle collision instincts over road midblock using deep learning

The present research aims to understand the safety over the midblock road sections and proposes a safety framework using the conventional Time to Collision (TTC) measure. In the present work, the safety framework underlines a supporting structure connecting the actions of the surrounding vehicles and assesses the collisions changes for a given...

Understanding Behavioural Adaptations of Human Drivers interacting with Automated Vehicles

Advancements in technology are bringing Automated vehicles (AVs) closer to reality and it is not so far in future when these vehicles will have a significant penetration rate in our existing transport network. However, in the early phases of automation, penetration rate of these vehicles will be very low. This would lead to a mixed traffic...

Intelligent signalized intersection management for mixed traffic using Deep Q-Learning

Signalized urban intersections are bottlenecks for traffic and cause congestion. To improve traffic signal plans, research efforts have been made to create self-adaptive traffic controllers, i.e. controllers which adapt in real-time to the current traffic demand based on connected vehicle data. Past research on self-adaptive controllers has...

A Macroscopic Flow Model for Mixed Bicycle–Car Traffic

Bicycles are gaining popularity as a mode of transport resulting in a mixed bicycle–car traffic situation on urban roads. Cyclists however, are hardly included in traffic flow models which complicates the design of safe and congestion-free traffic situations. This work introduces class-specific speed functions based on two variables, being space...

A simulation model of mixed traffic flow at non-signalised intersections, based on the Shared Space approach

The objective of this thesis project is to analyze the traffic behaviour that the Shared Space approach assumes to enforce in a traffic space designed according to its principles, and to determine the impact of this behaviour on traffic performance and safety, isolated from location-specific elements. This is done by means of a new conceptual...