Heterogeneous fleet sizing for on-demand transport in mixed automated and non-automated urban areas

The era of intelligent transportation with automated vehicles (AVs) is coming. Nonetheless, the transition to this system will be a gradual process. On the one hand, some zones in the city may be dedicated to AVs with a fully intelligent traffic management system geared toward high performance. On the other hand, automated and conventional...

Tracking traffic congestion and accidents using social media data: A case study of Shanghai

Traffic congestion and accidents take a toll on commuters' daily experiences and society. Locating the venues prone to congestion and accidents and capturing their perception by public members is invaluable for transport policy-makers. However, few previous methods consider user perception toward the accidents and congestion in finding and...

Traffic Congestion Policies analysis of Chinese Cities Based on System Dynamics

Since the reform and opening up, Chinese economy has developed rapidly, and people's living standards have been greatly improved. Chinese GDP in 2019 is 270 times of that in 1978 and per capita GDP in 2019 is 180 times of that in 1978. The income has increased a lot during the past 40 years, especially in metropolis like Beijing, Shanghai,...

Short-Term Traffic Forecasting on Highways Using Neural Networks: A Congestion Pattern-Based Assessment

As traffic demands are ever increasing and building new infrastructure poses challenges in densely populated areas, it is important to optimally utilise existing infrastructure. Short-term traffic forecasting can help with this task, as its predictions can help to prevent congestion by rerouting vehicles. Recently, neural networks developed for...

Smart parking management system with dynamic pricing

Smart parking is becoming more and more an integral part of smart city initiatives. Utilizing and managing parking areas is a challenging task as space is often limited, finding empty spaces are hard and citizens want to park their vehicles close to their preferred places. This becomes worse in important/posh areas of major metropolitan cities...

A Multi-class Lane-changing Advisory System for Freeway Merging Sections

Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. This application balances the distribution of traffic over the available lanes of a freeway, by...

Departure time choice and bottleneck congestion with automated vehicles: Role of on-board activities

It is widely expected that automated vehicles (AVs) will revolutionise travel experience by better facilitating various on-board activities. While these activities could make travel more pleasant, as is often supposed, they could also affect daily schedules, the related travel choices, and finally, the aggregate travel patterns – possible...

A novel method about the representation and discrimination of traffic state

The representation and discrimination of various traffic states play an essential role in solving traffic accidents and congestion as the foundation of traffic state prediction. However, the existing representation of the traffic state usually only considers the road congestion layer and divides the traffic state into congested and unblocked....

Assessing the impact of quay-wall renovations on the nautical traffic in Amsterdam: A simulation study

The canals of Amsterdam represent a draw for tourists and add to the value of real estate along the canals. More than 40 percent of Amsterdam tourists take a trip through the canals, accounting for more than 3 million canal travelers annually. Therefore, the tour boat sector is crucial for tourism in Amsterdam.<br/>Many of the quay walls on...

Improving the airport landside connectivity through the Internet of Things

Flying comes with many responsibilities for both the airport and the passenger. One of the responsibilities for the passenger is to be on time at the airport. In case of delays or disruptions, passengers are required to be provided with alternatives to be able to catch their flight on time. The airport is responsible for offering the best...

Feature extraction and clustering analysis of highway congestion

Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear and...

Empirical MFDs using Google Traffic Data

<br/>The Macroscopic Fundamental Diagram (MFD) describes the relation between accumulation and speed in a zone. While theoretically expected, empirical validations have been done with limited numbers of floating car (e.g., taxi) data, and loop detectors. This paper will verify existence, shape and crispness of the MFD using Floating Car Data ...

Understanding Traffic Events by Enriching Traffic Data with Geosocial Data

Non-recurrent traffic events, consisting of events of an unpredictable nature such as incidents and vehicle breakdowns, can either directly or indirectly influence road traffic. A better understanding of these events could prove beneficial towards improving a multitude of facets concerning the management of the Dutch road network. Traditional...

Unraveling the Dynamics of MaaS: An Exploratory Study on the use of System Dynamics for the analysis of Pricing Interventions in MaaS Systems

Traffic congestion has proven to be a wicked problem that is affecting people's economy and health. Until now, traditional policies have not yet been able to solve the problem entirely. To tackle such a challenge, new innovative measures are needed. Mobility as a Service (MaaS), a new paradigm in mobility where all modes of transportation are...

Routing strategy including time and carbon dioxide emissions: effects on network performance

Traffic congestion leads to delays and increased carbon dioxide (CO2) emissions. Traffic management measures such as providing information on environmental route costs have been proposed to mitigate congestion. Multi-criteria routing dynamic traffic assignment (MCR-DTA) models are needed to evaluate the effectiveness of such measures. This paper...

Project Cartagena: Tunneling the bay

Cartagena is one of the main touristic attractions of Colombia with its good conserved colonial city centre. The city also has an important contribution to the economic growth of Colombia, because of its big port and its beneficial location towards the Panama Channel. However, Cartagena is suffering from problems with the accessibility of...

Exploration of the Growing Trend of Electric Vehicles in Beijing with System Dynamics method and Vensim model

This research is conducted to explore the growing trend of private vehicles in Beijing, China, in the coming 25 years using the system dynamics (SD) method. The vensim software is used to build the SD model and do simulations. First, the paper introduces the background of the private vehicles in Beijing and analyzes the issues of traffic...

Gaining new insights regarding traffic congestion, by explicitly considering the variability in traffic

In hydraulic engineering it is known that for the evaluation of the performance of a system, a probabilistic approach is preferable to a deterministic one. The essence of such a probabilistic approach is that random variability/uncertainty is explicitly taken into account. In this graduation project, this probabilistic way of looking at a system...