Achieving genuinely dynamic road user charging : issues with a GNSS-based approach

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Telematics data for geospatial and temporal mapping of urban mobility: New insights into travel characteristics and vehicle specific power

This paper describes a new approach for understanding urban mobility called geospatial and temporal (GeoST) mapping, which translates telematics (location) data into travel characteristics. The approach provides the speed-acceleration profile of transport flow at high spatial and temporal resolution. The speed-acceleration profiles can be converted to vehicle-specific power (VSP), which can be used to estimate vehicle emissions. The underlying data used in the model is retrieved from a large telematics dataset, which was collected from GPS-connected vehicles during their journeys over the UK's West Midlands region road network for the years 2016 and 2018. Single journey telematics data were geospatially aggregated and then distributed over GeoST-segments. In total, approximately 354,000 GeoST-segments, covering over 17,700 km of roads over 35 timeslots are parameterized. GeoST mapping of the average vehicle speed (traffic flow), and VSP over different road types are analysed. The role of road slope upon VSP is estimated for every GeoST-segment through knowledge of the elevation of the start and end points of the segments. Previously, road slope and its effect upon VSP have been typically ignored in transport and urban planning studies. A series of case studies are presented that highlight the power of the new approach over differing spatial and temporal scales. For example, results show that the total vehicle fleet moved faster by an average of 3% in 2016 compared to 2018. The studied roads at weekends are shown to be less safe, compared to weekdays, because of lower adherence to speed limits. By including road slope in VSP calculations, the annually averaged VSP results differ by +12.6%, +14.3%, and + 12.7% for motorways, primary roads, and secondary roads, respectively, when compared to calculations that ignore road slope

The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data

With more diverse transport policies being proposed and the advent of novel transport services and technologies, the transport system is becoming more individualized in many aspects. Transport models, the most important tool to assess policies and schemes, need to be sufficiently expressive to address these developments. Agent-based transport models, where travelers with individual properties and the ability to act and decide autonomously are resolved individually, allow to appropriately model and analyze such policies. This paper describes the MATSim Open Berlin Scenario, a transport simulation scenario for the Berlin metropolitan area implemented in the agent-based transport simulation framework MATSim. The scenario is solely based on open data and the demand for transport is created based on a fully synthetic procedure. Contrary to most transport simulation scenarios, no information from a travel diary survey is required as input. As such, the scenario generation procedure described in this study is spatially transferable and facilitates the creation of agent-based transport simulation scenarios for arbitrary regions

Modeling and analysis of LTE connectivity in a high mobility vehicular environment

Long-Term Evolution (LTE) technology has several features that make it an attractive alternative to be used in vehicle-to-infrastructure communications for intelligent transportation systems. However, before LTE can be widely used in this context, a number of analyses must provide convincing evidence that critical network functions (e.g. resource allocation strategies) yield adequate performance. To this end, in this work, we introduce a Markov-chain based model for LTE downlink channel quality, a prime factor affecting performance. Our model comes from the analysis of a large number of measurements of LTE Cell-Specific Reference Signals that were collected through a crowdsourcing application on a motorway in the UK. The model is intended to be used in performance evaluation studies and we exemplify its use with a case study, where we estimate the downlink transmission capacity of an LTE network. We also discuss other potential applications

Role of Integrated Parking Information System in Traffic Management

Management tasks of parking facilities (coordination of demand and supply) belong to mobility and trac management, especially in the case of limited capacities. While researches regarding to parking problems usually focus on narrower fields (processes, implementation), claim for integrated, comprehensive trac management appears even more intensively. The information technology offers a wide toolkit for this. The concept of the integrated parking management system has been elaborated. It takes into consideration the dierent characteristics of the parking methods. A ranking calculation method has been developed, which assesses the parking facilities and gives suggestions for the trip chain and the parking spot. This is based on time-dependent and ever-changing resistance values. The method takes into consideration the dynamic features of facilities, users' preferences and the applied management strategy. It can be used for the development of route guidance and navigation software. In the future, mobility and parking demands can be influenced by real-time and interactive information management via smartphones. These equipments became personal intelligent travel assistant devices

Microwave Beamforming Networks for Intelligent Transportation Systems

An Intelligent Transportation System (ITS) is a system based on wireless communications which has been investigated for many years in order to provide new technologies able to improve safety and efficiency of road transportation with integrated vehicle and road systems. It combines all aspects of technology and systems design concepts in order to develop and improve transportation system of all kinds. ITS, which utilise information and communications technology in vehicle as well as within the roadside infrastructure, can also be used to improve mobility while increasing transport safety, reducing traffic congestion, maximising comfort, and reducing environmental impact (Andrisano et al., 2000). Intelligent transportation systems and applications can improve the quality of travel by selecting routes with up-to-the-minute information data, giving priority to response vehicle teams, notifying drivers about road incidents, and delivering ITS services to drivers. They can reduce fuel consumption by routing the vehicles to their destinations so that fuel waste is significantly reduced, and also fully utilise the capacity of the existing road vehicular networks by controlling the flow of vehicles based on traffic monitoring and detecting congestions. Document type: Part of book or chapter of boo

Internet, adjustment of firms and the spatial division of labour

The rise of the Internet has been heralded as the 'death of distance' that may eventually entail a 'decline of the city'. Whether or not these futuristic visions will materialize will depend upon how firms and industries react to the Internet as a general-purpose technology. Besides the locational choice of New Economy firms themselves it is the adoption of E-commerce in industries of the 'old' economy which has the potential for re-shaping the economic geography of regions, and which may, in many instances radically so, change the way to manage the internal organization of firms as well as relationships with business partners (B2B) and with consumers (B2C). The paper aims at discussing elements of a conceptual approach for evaluating these spatial effects of E-commerce activities on locational patterns in the old economy by identifying suitable proxy indicators from existing evidence, such as connectivity to IT-infrastructures, sectoral differences in B2B solutions, market (de-)concentration processes, or changes of functional employment structures of cities. Key words: Internet, E-commerce, Organizational Change, Firm Location, Spatial Division of Labour

DrivingBeacon : Driving Behaviour Change Support System Considering Mobile Use and Geo-information

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