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Logistic Regression A Self Learning Text

Innovation Diffusion as a Spatial Process

In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.

/pdf/a-survey-of-results-on-mobile-phone-datasets-analysis-3ii9qbn03f.pdf

A survey of results on mobile phone datasets analysis

Several attempts have already been made to use telecommunications networks for urban research, but the datasets employed have typically been neither dynamic nor fine grained. Against this research ...

Eigenplaces: analysing cities using the space-time structure of the mobile phone network

Numerical experiments for motion planning of road vehicles require numerous components: vehicle dynamics, a road network, static obstacles, dynamic obstacles and their movement over time, goal regions, a cost function, etc. Providing a description of the numerical experiment precise enough to reproduce it might require several pages of information. Thus, only key aspects are typically described in scientific publications, making it impossible to reproduce results — yet, re-producibility is an important asset of good science. Composable benchmarks for motion planning on roads (CommonRoad) are proposed so that numerical experiments are fully defined by a unique ID; all information required to reconstruct the experiment can be found on the CommonRoad website. Each benchmark is composed by a vehicle model, a cost function, and a scenario (including goals and constraints). The scenarios are partly recorded from real traffic and partly hand-crafted to create dangerous situations. We hope that CommonRoad saves researchers time since one does not have to search for realistic parameters of vehicle dynamics or realistic traffic situations, yet provides the freedom to compose a benchmark that fits one's needs.

/pdf/commonroad-composable-benchmarks-for-motion-planning-on-57s920ckbw.pdf

CommonRoad: Composable benchmarks for motion planning on roads

Trajectories drawn in a common reference system by all the vehicles on a road are the ultimate empirical data to investigate traffic dynamics. The vast amount of such data made freely available by the Next Generation SIMulation (NGSIM) program is therefore opening up new horizons in studying traffic flow theory. Yet the quality of trajectory data and its impact on the reliability of related studies was a vastly underestimated problem in the traffic literature even before the availability of NGSIM data. The absence of established methods to assess data accuracy and even of a common understanding of the problem makes it hard to speak of reproducibility of experiments and objective comparison of results, in particular in a research field where the complexity of human behaviour is an intrinsic challenge to the scientific method. Therefore this paper intends to design quantitative methods to inspect trajectory data. To this aim first the structure of the error on point measurements and its propagation on the space travelled are investigated. Analytical evidence of the bias propagated in the vehicle trajectory functions and a related consistency requirement are given. Literature on estimation/filtering techniques is then reviewed in light of this requirement and a number of error statistics suitable to inspect trajectory data are proposed. The designed methodology, involving jerk analysis, consistency analysis and spectral analysis, is then applied to the complete set of NGSIM databases.

On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data

The use of wireless location technology and mobile phone data appears to offer a broad range of new opportunities for sophisticated applications in traffic management and monitoring, particularly in the field of incident management. Indeed, due to the high market penetration of mobile phones, it allows the use of very detailed spatial data at lower costs than traditional data collection techniques. Albeit recent, the literature in the field is wide-ranging, although not adequately structured. The aim of this paper is to provide a systematic overview of the main studies and projects addressing the use of data derived from mobile phone networks to obtain location and traffic estimations of individuals, as a starting point for further research on incident and traffic management. The advantages and limitations of the process of retrieving location information and transportation parameters from cellular phones are also highlighted. The issues are presented by providing a description of the current background and data types retrievable from the GSM network. In addition to a literature review, the main findings on the so-called Current City project are presented. This is a test system in Amsterdam (The Netherlands) for the extraction of mobile phone data and for the analysis of the spatial network activity patterns. The main purpose of this project is to provide a full picture of the mobility and area consequences of an incident in near real time to create situation awareness. The first results from this project on how telecom data can be utilized for understanding individual presence and mobility in regular situations and during non-recurrent events where regular flows of people are disrupted by an incident are presented. Furthermore, various interesting studies and projects carried out so far in the field are analyzed, leading to the identification of important research issues related to the use of mobile phone data in transportation applications. Relevant issues concern, on the one hand, factors that influence accuracy, reliability, data quality and techniques used for validation, and on the other hand, the specific role of private mobile companies and transportation agencies.

https://link.springer.com/content/pdf/10.1007%2Fs10708-011-9413-y.pdf

Mobile Phone Data from GSM Networks for Traffic Parameter and Urban Spatial Pattern Assessment - A Review of Applications and Opportunities

The increasing need, in the transportation sector, for new policy initiatives that generate positive and sustainable environmental, social and economic impacts is increasingly directed towards the promotion of intermodal integration in transportation that may prompt a rebalance in the mobility pattern in relevant areas, especially in an urban environment. An interesting example of a city with a great variety of such complex transportation challenges is the Venice area in Italy. In this paper a feasibility study for a sub-lagoon tube connection between Venice island and its mainland is presented. This project aims to improve accessibility and sustainability in the Venice region, by favouring an intermodal re-balance in the local transportation system. In particular, the methodology of transportation evaluation and of scenario simulations will be highlighted, while the main results of the study will be presented and discussed. Multicriteria analysis is used here inter alia as an important assessment and evaluation method. The case study of Venice can be considered as an illustrative study, in which a novel and challenging urban plan is followed by specific studies assessing the overall sustainability of the proposed policy intervention, even though it is not ensued by an immediate implementation.

/pdf/modelling-intermodal-re-balance-and-integration-planning-a-2gmv81o657.pdf

Modelling intermodal re-balance and integration: planning a sub-lagoon tube for Venezia

Accessibility has become a key issue in modern urban planning. This paper aims to identify the impact of differences in spatial accessibility on the development of the built environment in cities. Using a few simple accessibility indicators, it tries to map out in a quantitative way the detailed implications of accessibility conditions for built-up areas, on the basis of a 25x25m grid cell approach. The statistical tools used are discriminant analysis and logistic regression, followed by a GIS representation of the empirical results for four Dutch cities: Amsterdam, The Hague, Rotterdam, and Utrecht.

Maria Teresa Borzacchiello

Papers

On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data

Mobile Phone Data from GSM Networks for Traffic Parameter and Urban Spatial Pattern Assessment - A Review of Applications and Opportunities

Modelling intermodal re-balance and integration: planning a sub-lagoon tube for Venezia

Accessibility and Urban Development: A Grid-based Comparative Statistical Analysis of Dutch Cities

Sustainable Urban Land Use and Transportation Planning: A Cognitive Decision Support System for the Naples Metropolitan Area