Shared e-mobility is a category of emerging mobility services that includes electric carsharing, e-bike sharing and e-scooter sharing. These services are expected to reduce the negative externalities of road transport that is currently dominated by fossil-fuel-powered private car trips. In order to ...

Truck traffic has a comparatively larger impact on safety, traffic congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning and operation of truck movement is necessary to reduce these impacts. Truck movement has traditionally been measured through surveys, which are li...

Acceptance is often claimed to be the crucial factor for autonomous vehicle success. In this study, we examine the factors that influence the acceptance of autonomous transit feeders using a hybrid choice model. Our research is based on data from a Germany-wide online survey with more than 1,000 res...

Every year, some 4.5 million containers are being discharged in ports around the Netherlands. Most containers arrive on seagoing vessels in the Ports of Rotterdam and Amsterdam, from where they continue their journey on inland vessels, trains and heavy goods vehicles (HGVs) towards their destination...

When traffic density reaches a critical point, even minor speed disturbances may trigger traffic breakdown at freeway bottlenecks. To prevent it and maintain a free flow, it is important to inform drivers about the actual traffic state correctly so as to enable them to adjust their driving behavior ...

Max pressure (MP) is a distributed strategy for adaptive urban traffic signal control. Real-time queue estimation for road links is indispensable for MP-based traffic control. All works conducted so far on MP traffic signal control assumed that accurate information of vehicle queues was directly ava...

This article presents the global optimization routing system implemented in LOGISTAR . LOGISTAR is an H2020 project funded by the European Commission which seeks for the effective planning and optimization of transport operations in the supply chain by taking advantage of horizontal collaboration. D...

Agent-based freight models are used to simulate a plethora of agents, agent attributes, and operational environments. The population in these models typically comprises business establishments or firms. Due to lack of data, attributes are often limited to readily available traits such as firm size a...

This paper aims to optimize on-ramp merging processes for connected automated vehicles by utilizing an existing hierarchical control architecture including a decision-maker and an operational controller. The decision-maker employs surrogate linear models to predict future vehicular acceleration anal...

Public transport systems, being a safe and sustainable mode of transport, can benefit to a great extent from availing Autonomous vehicle (AV)s. However, the advancements in the road transport infrastructure is not at par with advancements in Intelligent Transportation System (ITS) and vehicle techno...

In present study we focus on a special case problem for an island where the transportation is mainly based on barouches pulled by horses due to the limitation on the use of internal combustion engine vehicles. Both the daily travels of islanders and touristic tours of visitors are provided by barouc...

Maintaining high operation performance and at the same time having high transporting capacity is a challenge for urban rail lines during unexpected disruption. In this paper,we focus on adjusting the train timetable in case of a complete blockage with fixed disruption length. A mixed integrated line...

A successful implementation of autonomous vehicles will depend to a great extent on the acceptance of users. The individual attitudes regarding AVs are crucial in the adoption of this technology. Numerous autonomous shuttle projects have been deployed worldwide to gather insights on the technical be...

1. Problem statement and contribution E-commerce is a rapidly growing and evolving sector. The sector is however struggling with its organization of the last-mile deliveries in order that it meets the sustainability requirements, both economically and environmentally. Different delivery methods tran...

In this paper, a concept of an IoT based solution for a Bike Sharing Platform is presented. The developed platform implements a new layer of instrumentation that allows data collection that could be used for, for instance, route suggesting algorithms, fleet management and distribution, traffic analy...

In the past decade, shared mobility systems involving station-based, dockless and electric bikesharing, and electric scooter sharing (collectively branded as ‘micromobility’ services) have emerged as increasingly popular modes for short trips in urban transportation landscape worldwide. A robust...

The promise of Mobility-as-a-Service (MaaS) is that it decreases the need to own a car and contributes to a more sustainable transport system. However, MaaS also offers relatively easy access to car-based travel alternatives which may result in substituting public transport trips by car trips. An im...

As evidenced by their rapid adoption in recent years, shared micro-mobility services have resonated with consumers as first and last-mile solutions by penetrating the traditional transportation framework. A recent upsurge in investments from tech industry competitors like Uber, Lyft, Ford, Alphabet,...

A passenger-oriented method integrating perimeter control with bus dispatch is proposed for solving passenger dispersion problem under metro interruption. Its essential to use perimeter control to prevent the neighborhood of the affected road network from congestion by postponing or transferring the...

Route planning in public transport receives an increasing interest in smart cities and particularly in metropolitan cities where crowded and jammed traffic is daily recorded in the transportation network. The availability of digital footprints, such as ticketing logs, or load on board the trains, pr...

Traffic flow effects of cooperative adaptive cruise control (CACC) have not been fully understood, though such understanding is essential for the forthcoming research and applications concerning connected and automated vehicles as well as the implication for future traffic management and control. Th...

The era of intelligence transportation is coming. Nonetheless, the transition to an intelligent system will be a gradual process. On the one hand, some zones in the city may be dedicated as autonomous zone with a fully intelligent traffic facility allowing only autonomous vehicles. On the other hand...

The technological advances in connected and automated vehicles (CAVs) enable cooperative (automated) vehicles to exchange information with not only infrastructure but also among vehicles. Joint control of traffic signals and vehicle trajectories has the potential to improve traffic operations and en...

Eco-routing has been proposed as a means of distributing traffic in cities to improve mobility sustainability [1-3]. The implementation of eco-routing in real-life requires a diverse set of information, including heterogeneous and legacy sensors often already present in the city infrastructure. In t...

The introduction of a carsharing service reduces both private car ownership and total vehicle miles traveled. Due to the environmentally friendly modal shifts, policy makers are keen to increase market share of carsharing. While past research has focused on both the users of carsharing services and ...

Advanced driving assistance and automation technologies promise to disrupt road transportation as it is known today. One of the first example of widely available Advanced Driver Assistance Systems (ADAS) is the Adaptive Cruise Control (ACC), which regulates the longitudinal vehicle dynamics requirin...

Electrifying mobility-on-demand (MoD) fleets is an important step towards a more sustainable transportation system. With increasing fleet size, MoD operators will be able to participate in the energy exchange market and will have access to time-varying electricity prices. They can benefit from intel...

In this paper we present a methodology to more accurately calculate emissions in regional freight transportation models by taking the loading rate of vehicles into account in the emission factors. This is done by incorporating the shipment-based demand data from a multi-agent simulation framework in...