Reducing journey times for en-route charging using V2X communication

This thesis project explores how V2X communication between electric vehicles (EV) and charging stations can be used to reduce en-route charging times. This is done using standardized V2X messages for EV charging, as well as proposing an extension to these messages to include data on the intentions of other vehicles. As individual vehicles can...

Driving patterns in connected environments: A case study of intersection-approaching behavior of professional and non-professional drivers

The in-vehicle communication provides promising opportunities to improve the road safety and traffic efficiency. Previous studies demonstrated that the professional drivers have better driving skills than the non-professional drivers who allocate more attention to secondary tasks. However, they may not be sensitive to the new in-vehicle...

Reduction of Capacity Drop at Sag and Tunnel Bottlenecks through Connected Vehicles

Traffic congestion is a challenge that frequently emerges due to changes in the roadways such as tunnels and sags, causing capacity reduction. The capacity drop phenomenon exacerbates traffic congestion, due to decreased queue discharge rates. Among the strategies employed for traffic management, Variable Speed Limit (VSL) control is a common...

Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges

Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...

Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

Vehicle automation and connectivity bring new opportunities for safe and sustainable mobility in urban and highway networks. Such opportunities are however not directly associated with traffic flow improvements. Research on exploitation of connected and automated vehicles (CAVs) toward a more efficient traffic currently remains at a...

Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

When making trips in urban environments, cyclists lose time as they stop and idle at signalized intersections. The main objective of this study was to show how augmenting the situational awareness of traffic signal controllers, using observations from moving sensor platforms, can enable prioritization of cyclists and reduce lost time within...

Design of a structure free intersection controller for connected bicycles and cars using model based control and a genetic algorithm

Bicycles have an important role to play in the transition towards a more sustainable mobility. In order to achieve the modal shift towards bicycles, more must be done to accommodate cyclists. Although controlled intersections do increase the (perceived) safety of crossings with motorized vehicles, they are seen as major obstacles, and cyclists...

Impact of Network Topology on the Resilience of Vehicle Platoons

This paper presents a comprehensive study on the impact of information flow topologies on the resilience of distributed algorithms that are widely used for estimation and control in vehicle platoons. In the state of the art, the influence of information flow topology on both internal and string stability of vehicle platoons has been well...

Automated driving on the path to enlightenment?

The impact of regulations for a centralised route guidance system: A simulation study to the effect of a regulated centralised congestion avoiding route guidance system with different penetration rates of automated vehicles on the Milan ring network

This study aims to quantify the impact on the traffic flow performance of different regulation strategies for a centralised route guidance system where road authorities and service providers work together in a coordinated approach. Previous research concentrates on the effect of a centralised route guidance system when every vehicle participates...

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...

Governance cultures and sociotechnical imaginaries of self-driving vehicle technology: Comparative analysis of Finland, UK and Germany

As an emerging technology, the potential deployment of self-driving vehicles (SDVs) in cities is attributed with significant uncertainties and anticipated consequences requiring responsible governance of innovation processes. Despite a growing number of studies on policies and governance arrangements for managing the introduction of SDVs,...

Emerging mobility technologies and transitions of urban space allocation in a Nordic governance context

The urban mobility landscape is currently undergoing a period of major uncertainties, largely driven by a multitude of emerging technologies. This chapter aims to explore plausible future changes in urban space allocation from the combined emergence of mobility services and vehicle automation. To this end the intuitive logics scenario...

Paving the way for autonomous cars: Current projects and challenges in the Netherlands

<br/>Currently, cities are in the midst of a transportation transition, namely, from human-driven to driverless vehicles. Because of the rapid development of technology, many systems are being automated or even becoming autonomous. Autonomous means that the system is able to perform each task automatically without any human intervention. Much...

The Connected Automotive Future: An innovation strategy for LeasePlan: How the connected vehicle enables acceleration in the zero emission fleet transition

This thesis proposes an innovation strategy to leverage the potential of connected vehicles for the fleet of LeasePlan, the global leader in automobile leasing and fleet management. This strategy has been developed through an extensive analysis of the internal environment, customer trends, industry developments, and emerging technologies in...

Incorporating car owner preferences for the introduction of economic incentives for speed limit enforcement

Human error including driving misbehavior contributes to over 90 percent of road vehicle accidents, and speeding is considered to be risky. Smart technologies, such as Connected Vehicle System (CVS) are among the interesting technical options to improve driving behavior, and Pay-As-You-Speed (PAYS) is an effective economic incentive to reduce...

Carrot and stick: A game-theoretic approach to motivate cooperative driving through social interaction

This driving-simulator study aimed to motivate cooperative lane-change maneuvers in automated freeway driving under human supervision. Two interaction concepts were designed based on game theory. These concepts supported drivers’ cooperation by applying both rewards and sanctions as the proverbial carrot and stick. The social-status...

Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves

The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control commands. The key of this concept is using intelligent vehicles as actuators for traffic control systems. Under this concept, we design and test a control...