Router deployment of Streetside Parking Sensor Networks in Urban Areas

The deployment of urban infrastructure is very important for urban sensor applications. In this paper, we studied and introduced the deployment strategy of wireless on-street parking sensor networks. We defined a multiple-objective problem with four objectives, and solved them with real street parking map. The results show two sets of Pareto Front with the minimum energy consumption, sensing information delay and the amount of deployed routers and gateways. The result can be considered to provide urban service roadside unit or be taken into account while designing a deployment algorithm.Comment: UM - Urban Modelling Symposium, Oct 2014, Lyon, France. \<http://urbanmodelling.sciencesconf.org/\&g

A simulation-based approach to assess impacts of urban logistics policies on traffic flow dynamics

International audienceIn urban environments, there are now many challenging problems concerning freight transport.As cities around the world grow rapidly, there is an increase in pickup-delivery truck traffic inurban areas. It turns out that commercial traffic is now a major source of externalities in metroareas, including congestion, noise, air pollution (small particulates, NOx, greenhouse gasemissions), and traffic incidents [1].To overcome these issues, many interesting and innovative strategies have been developed inEurope and other parts of the world. Especially, some researchers proposed the idea of citylogistics to solve these difficult problems [2-3]. The idea of this concept is to rationalize thefreight activities in cities by optimizing operations considering the traffic conditions and thecongestion issues. Consequently, public authorities strongly need decision support frameworksto evaluate urban logistics planning and management.It turns out that a key point in predicting the impacts of city logistics is the influence of freighton traffic flow dynamics. Particularly, pickup-delivery trucks maneuvers generate roadcapacity reduction and lead to delay for individual drivers. Although this is a crucial topic, theliterature rarely addresses this issue. This paper aims to fill this lack of understanding byincorporating the effects of urban freight in a traffic flow model

A modelling approach of pooled urban consolidation centers

International audienceCity logistics are the last link of complex supply chains which involve numerous stakeholders: carriers, inhabitants, public administration, etc. It is a small part of the total traveled distance, nevertheless it can represent up to 28% of the total transport cost [1]. Moreover, air pollution emissions related to urban freight transport is estimated between 16% and 50% of the overall pollution made by transport activities in a city [2]. Most of time, communal decision-makers do not have enough knowledge to take adapting local public policy to face these stakes [3]. As aforementioned, designing efficient transport facilitates small businesses, shops and boutiques, and therefore improve livelihood and livability of cities [4]. Hence, it is necessary to provide sustainable solutions to relieve the traffic congestion on the city center and reduce the environmental impact of urban freight transport.City logistics’ solutions available in literature [5,6] seem to be based on the use of two principles: multi-modal and pooling. Two research questions emerge. The first, how could the use of multi-modal facilities address city logistics issues? The second which is the purpose of this paper: which impact would the use of pooling concept have on urban logistics?Our approach is to develop a “What if” decision support system to provide pertinent information beforehand when designing a city logistics project. Indeed, there is a pressing need to establish models allowing ex ante assessment [7,8]