scholarly journals Analysis of spatiotemporal data to predict traffic conditions aiming at a smart navigation system for sustainable urban mobility

2019 ◽  
Vol 52 (4) ◽  
pp. 27-46 ◽  
Author(s):  
Kalliopi Kyriakou ◽  
Konstantinos Lakakis ◽  
Paraskevas Savvaidis ◽  
Socrates Basbas

Urban traffic congestion created by unsustainable transport systems and considered as a crucial problem for the urbanised areas provoking air pollution, heavy economic losses due to the time and fuel wasted and social inequity. The mitigation of this problem can improve efficiency, connectivity, accessibility, safety and quality of life, which are crucial parameters of sustainable urban mobility. Encouraging sustainable urban mobility through smart solutions is essential to make the cities more liveable, sustainable and smarter. In this context, this research aims to use spatiotemporal data that taxi vehicles adequately provide, to develop an intelligent system able to predict traffic conditions and provide navigation based on these predictions. GPS (Global Positioning System) data from taxi are analysed for the case of Thessaloniki city. Trough data mining and map-matching process, the most appropriate data are selected for travel time calculations and predictions. Several algorithms are investigated to find the optimum for traffic states prediction for the specific case study concluding that ANN (Artificial Neural Networks) outperforms. Then, a new road network map is created by producing spatiotemporal models for every road segment under investigation through a linear regression implementation. Moreover, the possibility to predict vehicle emissions from travel times is investigated. Finally, an application with a graphical user interface is developed, that navigates the users with the criteria of the shortest path in terms of trip length, travel time shortest path and “eco” path. The outcome of this research is an essential tool for drivers to avoid congestion spots saving time and fuel, for stakeholders to reveal the problematic of the road network that needs amendments and for emergency vehicles to arrive at the emergency spot faster. Besides that, according to an indicator-based qualitative assessment of the proposed navigation system, it is concluded that it contributes significantly to environmental protection and economy enhancing sustainable urban mobility.

2020 ◽  
Vol 12 (8) ◽  
pp. 3266 ◽  
Author(s):  
Alejandro Sánchez-Atondo ◽  
Leonel García ◽  
Julio Calderón-Ramírez ◽  
José Manuel Gutiérrez-Moreno ◽  
Alejandro Mungaray-Moctezuma

Some small- and medium-sized Global South cities have unsustainable transport systems and no information to plan interventions in addition to having limited resources for data collection. This study proposes a method to understand Public Transport (PT) ridership in cities of these characteristics, based on previous studies and by analysing available indicators related to Manheim’s macro-variables, to identify their influence on the PT ridership. The method was applied in the city of Mexicali, Mexico. The results help to understand the causes of the low PT ridership and have implications for achieving sustainable urban mobility in the city. Findings reveal that mobility planning in Mexicali has been occurring without properly considering activity system related variables, so it is necessary to integrate urban and transport administration. Moreover, to increase PT demand in Mexicali, mobility strategies to discourage the use of private cars are necessary. The proposed method can be applied in other cities of the Global South with characteristics similar to the case study to understand the causes of PT ridership, so these can be considered by the agencies responsible for the planning of the city’s transportation system to promote a sustainable urban mobility.


2018 ◽  
Vol 10 (10) ◽  
pp. 3711 ◽  
Author(s):  
Alexandra König ◽  
Tabea Bonus ◽  
Jan Grippenkoven

Public ridepooling systems could contribute to the reduction of traffic volume and emissions in cities by decreasing the number of rides by private car while increasing the average number of passengers per vehicle. Yet, it is unknown how urban travelers value different attributes of the ridepooling’s operational concept. Which characteristics of ridepooling concepts are most important to the users? In order to obtain a deeper understanding of travelers’ preferences concerning a ridepooling system, choice-based Conjoint Analysis was performed. Based on a literature review and a focus group, six relevant attributes of the operational concept of ridepooling systems were determined: fare, walking distance, time of booking, shift of departure time, travel time, and information provision. Data from 237 German city dwellers were analyzed with the help of Cox regression. Except for time of booking, all service attributes significantly affected the respondents’ choice. Besides the high relevance of fare, the results underline the particular importance of the attribute walking distance to the pick-up point for elderly. The results give guidance for the creation of user-centered public transport systems that meet the requirements of the prospective passengers and thus might contribute to the development of shared passenger transport systems for sustainable urban mobility.


2019 ◽  
Vol 18 (3) ◽  
pp. 558-582
Author(s):  
Anton Agafonov ◽  
Vladislav Myasnikov

An increase in the number of vehicles, especially in large cities, and inability of the existing road infrastructure to distribute transport flows, leads to a higher congestion level in transport networks. This problem makes the solution to navigational problems more and more important. Despite the popularity of these tasks, many existing commercial systems find a route in deterministic networks, not taking into account the time-dependent and stochastic properties of traffic flows, i.e. travel time of road links is considered as constant. This paper addresses the reliable routing problem in stochastic networks using actual information of the traffic flow parameters. We consider the following optimality criterion: maximization of the probability of arriving on time at a destination given a departure time and a time budget. The reliable shortest path takes into account the variance of the travel time of the road network segments, which makes it more applicable for solving routing problems in transport networks compared to standard shortest path search algorithms that take into account only the average travel time of network segments. To describe the travel time of the road network segments, it is proposed to use parametrically defined stable Levy probability distributions. The use of stable distributions allows replacing the operation of calculating convolution to determine the reliability of the path to recalculating the parameters of the distributions density, which significantly reduces the computational time of the algorithm. The proposed method gives a solution in the form of a decision, i.e. the route proposed in the solution is not fixed in advance, but adaptively changes depending on changes in the real state of the network. An experimental analysis of the algorithm carried out on a large-scale transport network of Samara, Russia, showed that the presented algorithm can significantly reduce the computational time of the reliable shortest path algorithm with a slight increase in travel time.


2019 ◽  
Vol 11 (6) ◽  
pp. 1761 ◽  
Author(s):  
João Valsecchi Ribeiro de Souza ◽  
Adriana Marotti de Mello ◽  
Roberto Marx

Although researchers have increasingly examined how business models promote sustainable urban mobility through innovation, the literature has focused less attention on what constitutes a sustainable and innovative business model in the context of urban mobility. To fill this research gap, this article aims to answer the following research question: what elements characterize sustainable and innovative business models in the field of urban mobility? To identify whether and to what extent the existing intersection between business models and sustainable urban mobility literature contributes to the development of this concept, a systematic review and analysis of the literature was conducted. The results indicate that the following aspects contribute to the sustainability of an urban mobility business model: favoring the use of clean energy; maximizing the use of transport resources and capabilities; encouraging substitution using sustainable modes; offering service orientation and functionality; articulating initiatives that address the needs of a wide range of stakeholders in transport systems; reducing travel demands; extending benefits to society and the environment in a systemic perspective; and developing scale-up mobility solutions.


2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Mariana Grade Ricieri ◽  
Heliana Barbosa Fontenele ◽  
Carlos Alberto Prado Da Silva Junior

RESUMO: As cidades de porte médio no Brasil têm ocupado posição de destaque nos últimos anos. Porém, estas cidades têm seguido o mesmo caminho das cidades brasileiras mais populosas e negligenciado aspectos que garantam à manutenção das condições que favorecem investimentos públicos e principalmente privados. Em relação aos sistemas de transporte e logística, cada vez mais as cidades de porte médio têm se tornado dependente do uso do automóvel e evitado políticas de incentivo à mobilidade urbana sustentável. Desta forma, entender a percepção dos usuários dos sistemas de transporte urbano é fundamental para traçar medidas de incentivo para modos alternativos de viagens urbanas. O objetivo deste estudo é apresentar uma análise da percepção dos usuários quanto aos modos de deslocamento urbano, principalmente a bicicleta e medidas específicas de incentivo ao uso deste modo não motorizado. A pesquisa foi realizada por meio de entrevistas com um questionário impresso. As respostas possibilitaram obter a opinião sobre o uso da bicicleta como modo de transporte, caracterizar o perfil socioeconômico dos entrevistados e simular um cenário em relação ao uso da bicicleta. Para o caso específico deste estudo ficou evidente que os entrevistados são favoráveis ao uso da bicicleta e uma parcela está disposta a usar o ciclismo desde que sejam implantadas medidas de incentivo.
 
 ABSTRACT: The medium-sized cities in Brazil have occupied a prominent position in the last years. However, these cities have followed the same path of the most populous Brazilian cities and have neglected aspects that guarantee the maintenance of the conditions that favor public and private investments. Regarding transport and logistics systems, more and more medium-sized cities have become dependent on the use of the car and have avoided policies to encourage sustainable urban mobility. In this way, understanding the users' perception of urban transport systems is fundamental to outline incentive measures for alternative modes of urban travel. The objective of this study is to present an analysis of the perception of the users regarding urban displacement modes, especially the bicycle and specific measures to encourage the use of this non-motorized mode. The research was conducted through interviews with a printed questionnaire. The answers made it possible to obtain the opinion about the use of the bicycle as a mode of transportation, characterize the socioeconomic profile of the interviewees and simulate a scenario regarding the use of the bicycle. For the specific case of this study it was evident that the interviewees are favorable to the use of the bicycle and a portion is willing to use the bicycle provided that incentive measures are implemented.


2019 ◽  
Vol 65 (4) ◽  
pp. 11-16
Author(s):  
Žarko Grujić ◽  
Igor Jokanovic ◽  
Vladimir Đorđić ◽  
Dragan Topić

The central zone of the city is the largest group of destination targets and as such attracts a large amount of daily migration. The basic idea of sustainable urban mobility is to provide a better quality space for pedestrians and cyclists as carriers of a sustainable way of movement through the discouragement of individual motorized traffic. The article presents one view of the organization of the city road network with the aim of achieving the sustainability of the system in the central city zone of Banja Luka.


Author(s):  
Jenil Jain

In emergency situations, choosing a wrong route or farther end point may increase the travel time. Discovering the shortest path between the start and end point in a road network is a difficult task. This paper provides an analysis of a few path finding algorithms like Dijkstra’s and A-star with various heuristic functions, used to find the shortest route. We also propose a system which can be used in case of emergency situations like accident, theft, etc to reach the emergency destinations as fast as possible, using Geographic Information Systems (GIS) based system and leaflet.js.


2020 ◽  
Vol 33 (1) ◽  
pp. 22-35
Author(s):  
Lina Ingeborgrud

This paper investigates the shaping of urban public transport by comparing ‘alternative leading objects’ to the car in the Norwegian cities Trondheim and Bergen. These have chosen different transport technologies, bus and light rail respectively. I draw on the concept of technological frames and illustrate how interpretations and expectations of sustainable urban mobility guide transport planning. The paper contributes to discussions in STS by exploring technological frames as ongoing practices instead of as outcomes, and as performed by what I identify as two framing coalitions. Both coalitions emphasised that Trondheim and Bergen represented different city identities and topographies. The paper demonstrates the importance of making such identities and representations of public transport systems in particular urban contexts in order to replace a car-dominated transport system. The paper draws on an observational study in two transport offices, interviews with transport planners and politicians and document studies.


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