An integrated mathematical approach to measure the capacity of MMTS

This article focusses upon multi-modal transportation systems (MMTS) and the issues surrounding the determination of system capacity. For that purpose a multi-objective framework is advocated that integrates all the different modes and many different competing capacity objectives. This framework is analytical in nature and facilitates a variety of capacity querying and capacity expansion planning.

A multi-hierarchical strategy for on-ramp coordination

Ramp metering (RM) is an access control for motorways, in which a traffic signal is placed at on-ramps to regulate the rate of vehicles entering the motorway and thus to preserve the motorway capacity. In general, RM algorithms fall into two categories by their effective scope: local control and coordinated control. Local control algorithm determines the metering rate based on the traffic condition on adjacent motorway mainline and the on-ramp. Conversely, coordinated RM strategies make use of measurements from the entire motorway network to operate individual ramp signals for optimal performance at the network level. This study proposes a multi-hierarchical strategy for on-ramp coordination. The strategy is structured in two layers. At the higher layer, a centralised, predictive controller plans the coordination control within a long update interval based on the location of high-risk breakdown flow. At the lower layer, reactive controllers determine the metering rates of those ramps involved in the ramp coordination with a short update interval. This strategy is modelled and applied to the northbound model of the Pacific Motorway in a micro-simulation platform (AIMSUN). The simulation results show that the proposed strategy effectively delays the onset of congestion and reduces total congestion with better managed on-ramp queues.

Pull factors attracting residents to Finnish senior houses

Most elderly Finnish residents prefer to age in place, but some relocate because of push factors that create stress in their current homes and pull factors that attract them to a new dwelling. This survey examines the important pull factors that attract seniors to senior houses. Grocery nearby is the strongest pull factor followed by hospital or medical center and public transportation. A factor analysis reveals that attributes can be grouped into three factors: onsite services that allow the residents to maintain an active lifestyle with some luxury, everyday services and facilities that would enable aging in place, and physical activity facilities. Residents have chosen the type of senior housing that supports their lifestyle. Meanwhile, socioeconomic characteristics do not explain the differences in the types of features that attract residents.

Traffic safety at road–rail level crossings using a driving simulator and traffic simulation

Several intelligent transportation systems (ITS) were used with an advanced driving simulator to assess its influence on driving behavior. Three types of ITS interventions were tested: video in vehicle, audio in vehicle, and on-road flashing marker. The results from the driving simulator were inputs for a developed model that used traffic microsimulation (VISSIM 5.4) to assess the safety interventions. Using a driving simulator, 58 participants were required to drive through active and passive crossings with and without an ITS device and in the presence or absence of an approaching train. The effect of changes in driver speed and compliance rate was greater at passive crossings than at active crossings. The slight difference in speed of drivers approaching ITS devices indicated that ITS helped drivers encounter crossings in a safer way. Since the traffic simulation was not able to replicate a dynamic speed change or a probability of stopping that varied depending on ITS safety devices, some modifications were made to the traffic simulation. The results showed that exposure to ITS devices at active crossings did not influence drivers’ behavior significantly according to the traffic performance indicator, such as delay time, number of stops, speed, and stopped delay. However, the results of traffic simulation for passive crossings, where low traffic volumes and low train headway normally occur, showed that ITS devices improved overall traffic performance.

Ship collision avoidance and COLREGS compliance using simulation-based control behavior selection with predictive hazard assessment

This paper describes a concept for a collision avoidance system for ships, which is based on model predictive control. A finite set of alternative control behaviors are generated by varying two parameters: offsets to the guidance course angle commanded to the autopilot and changes to the propulsion command ranging from nominal speed to full reverse. Using simulated predictions of the trajectories of the obstacles and ship, compliance with the Convention on the International Regulations for Preventing Collisions at Sea and collision hazards associated with each of the alternative control behaviors are evaluated on a finite prediction horizon, and the optimal control behavior is selected. Robustness to sensing error, predicted obstacle behavior, and environmental conditions can be ensured by evaluating multiple scenarios for each control behavior. The method is conceptually and computationally simple and yet quite versatile as it can account for the dynamics of the ship, the dynamics of the steering and propulsion system, forces due to wind and ocean current, and any number of obstacles. Simulations show that the method is effective and can manage complex scenarios with multiple dynamic obstacles and uncertainty associated with sensors and predictions.

Koti keskellä kaupunkia : Keskusta lapsiperheen asuinalueena, esimerkkeinä Tukholma ja Helsinki

Families with children have traditionally moved to suburbs. In the last 20 years a modest counter process has however been recognized. Families with an urban lifestyle stay in the city centres. This study looks at the phenomenon through two cases, Stockholm and Helsinki. In the first case it has already been observed that the city centre has grown in popularity among families with children. Therefore it serves as a basis for the study and as well as a point of comparison. Stockholm’s city centre is expanding as new neighbourhoods have been built and are being planned. In the city centre of Helsinki the building of two large neighbourhoods for 30 000 inhabitants will start in a few years. The first aim of the study is to look closer at what has really happened in the city centre of Stockholm, why families choose to live there with their children and how the City of Stockholm has reacted to the change. The main sources of information are secondary sources, statistics and interviews with planners, politicians and experts in the field. The main object is to look at the situation in the city centre of Helsinki. Can a preference for urban residential environments be observed in Helsinki? What are the reasons for a family to choose the city centre as a living place? How does the everyday life of a family in the city centre appear? How are these families taken into account in the planning of the city? The main sources of information here are statistics, interviews with dwellers in the neighbourhood Kruununhaka and interviews with planners. In Stockholm the birth rate has grown constantly during the 2000s and is highest in the city centre. Some of the families still move elsewhere, but many of them do not. One of the most important reasons for living in the city centre is short working distances which give working parents more time with their children. Another reason is a preference of an urban, active lifestyle. Families prefer to live close to everything, childcare, schools, shops and entertainments. The popularity of the city centre among families with children has taken politicians and planners by surprise. Helsinki has not experienced a baby boom like Stockholm. However the negative changes in the birth rate have been more modest in the central areas than in the suburbs. Statistics show, that many families move away from the city centre as the children grow. Families who stay in the city centre especially appreciate closeness to public and private services and good public transportation which means that they are not dependent on using the car. Further they find that the city centre has a tolerant climate and is a safe and beautiful place to live in. The families enjoy the social life of the neighbourhood and feel that it makes a good climate to raise children in. However they are concerned with traffic safety and the lack of stimulus in the playgrounds of the neighbourhood parks. Two large neighbourhoods with homes for about 30 000 inhabitants are now planned in the former Port Districts in the city centre of Helsinki. The other one, Jätkäsaari has been planned to become an attractive alternative for families with children. Traffic safety has been one of the main objects for the planning. The other, Kalasatama, has been planned to attract all groups in society.

Housing the skilled migrants in the Helsinki Metropolitan Area : International attractiveness of housing, neighbourhoods and the city region

The aim of this thesis is to examine the skilled migrants’ satisfaction with the Helsinki Metropolitan Area. The examination is executed on three scales: housing, neighbourhoods and the city region. Specific focus is on the built environment and how it meets the needs of the migrants. The empirical data is formed of 25 semi-structured interviews with skilled migrants and additionally 5 expert interviews. Skilled and educated workforce is an increasingly important resource in the new economy, and cities are competing globally for talented workers. With aging population and a need to develop its innovational structure, the Helsinki Metropolitan Area needs migrant workforce. It has been stated that quality of place is a central factor for skilled migrants when choosing where to settle, and from this perspective their satisfaction with the region is significant. In housing, the skilled migrants found the price-quality ratio and the general sizes of apartments inadequate. The housing market is difficult for the migrants to approach, since they often do not speak Finnish and there are prejudices towards foreigners. The general quality of housing was rated well. On the neighbourhood level, the skilled migrants had settled in residential areas which are also preferred by the Finnish skilled workers. While the migrants showed suburban orientation in their settlement patterns, they were not concentrated in the suburban areas which host large shares of traditional immigrant groups. Migrants were usually satisfied with their neighbourhoods; however, part of the suburban dwellers were unsatisfied with the services and social life in their neighbourhoods. Considering the level of the city region, the most challenging feature for the skilled migrants was the social life. The migrants felt that the social environment is homogeneous and difficult to approach. The physical environment was generally rated well, the most appreciated features being public transportation, human scale of the Metropolitan Helsinki, cleanliness, and the urban nature. Urban culture and services were seen good for the city region’s size, but lacking in international comparison.

Reinforcement Learning With Function Approximation for Traffic Signal Control

We propose, for the first time, a reinforcement learning (RL) algorithm with function approximation for traffic signal control. Our algorithm incorporates state-action features and is easily implementable in high-dimensional settings. Prior work, e. g., the work of Abdulhai et al., on the application of RL to traffic signal control requires full-state representations and cannot be implemented, even in moderate-sized road networks, because the computational complexity exponentially grows in the numbers of lanes and junctions. We tackle this problem of the curse of dimensionality by effectively using feature-based state representations that use a broad characterization of the level of congestion as low, medium, or high. One advantage of our algorithm is that, unlike prior work based on RL, it does not require precise information on queue lengths and elapsed times at each lane but instead works with the aforementioned described features. The number of features that our algorithm requires is linear to the number of signaled lanes, thereby leading to several orders of magnitude reduction in the computational complexity. We perform implementations of our algorithm on various settings and show performance comparisons with other algorithms in the literature, including the works of Abdulhai et al. and Cools et al., as well as the fixed-timing and the longest queue algorithms. For comparison, we also develop an RL algorithm that uses full-state representation and incorporates prioritization of traffic, unlike the work of Abdulhai et al. We observe that our algorithm outperforms all the other algorithms on all the road network settings that we consider.

Reinforcement learning with average cost for adaptive control of traffic lights at intersections

We propose for the first time two reinforcement learning algorithms with function approximation for average cost adaptive control of traffic lights. One of these algorithms is a version of Q-learning with function approximation while the other is a policy gradient actor-critic algorithm that incorporates multi-timescale stochastic approximation. We show performance comparisons on various network settings of these algorithms with a range of fixed timing algorithms, as well as a Q-learning algorithm with full state representation that we also implement. We observe that whereas (as expected) on a two-junction corridor, the full state representation algorithm shows the best results, this algorithm is not implementable on larger road networks. The algorithm PG-AC-TLC that we propose is seen to show the best overall performance.

Network pricing for QoS: A 'Regulation' approach

V. S. Borkar’s work was supported in part by grant number III.5(157)/99-ET from the Department of Science and Technology, Government of India. D. Manjunath’s work was supported in part by grant number 1(1)/2004-E-Infra from the Ministry of Information Technology, Government of India.

Design and Evaluation of a Robust Optical Beam-Interruption-Based Vehicle Classifier System

This paper presents the design and development of a novel optical vehicle classifier system, which is based on interruption of laser beams, that is suitable for use in places with poor transportation infrastructure. The system can estimate the speed, axle count, wheelbase, tire diameter, and the lane of motion of a vehicle. The design of the system eliminates the need for careful optical alignment, whereas the proposed estimation strategies render the estimates insensitive to angular mounting errors and to unevenness of the road. Strategies to estimate vehicular parameters are described along with the optimization of the geometry of the system to minimize estimation errors due to quantization. The system is subsequently fabricated, and the proposed features of the system are experimentally demonstrated. The relative errors in the estimation of velocity and tire diameter are shown to be within 0.5% and to change by less than 17% for angular mounting errors up to 30 degrees. In the field, the classifier demonstrates accuracy better than 97.5% and 94%, respectively, in the estimation of the wheelbase and lane of motion and can classify vehicles with an average accuracy of over 89.5%.

Rollover-Preventive Force Synthesis at Active Suspensions in a Vehicle Performing a Severe Maneuver With Wheels Lifted Off

Among the intelligent safety technologies for road vehicles, active suspensions controlled by embedded computing elements for preventing rollover have received a lot of attention. The existing models for synthesizing and allocating forces in such suspensions are conservatively based on the constraints that are valid until no wheels lift off the ground. However, the fault tolerance of the rollover-preventive systems can be enhanced if the smart/active suspensions can intervene in the more severe situation in which the wheels have just lifted off the ground. The difficulty in computing control in the last situation is that the vehicle dynamics then passes into the regime that yields a model involving disjunctive constraints on the dynamics. Simulation of dynamics with disjunctive constraints in this context becomes necessary to estimate, synthesize, and allocate the intended hardware realizable forces in an active suspension. In this paper, we give an algorithm for the previously mentioned problem by solving it as a disjunctive dynamic optimization problem. Based on this, we synthesize and allocate the roll-stabilizing time-dependent active suspension forces in terms of sensor output data. We show that the forces obtained from disjunctive dynamics are comparable with existing force allocations and, hence, are possibly realizable in the existing hardware framework toward enhancing the safety and fault tolerance.

Multi-agent Reinforcement Learning for Traffic Signal Control

Optimal control of traffic lights at junctions or traffic signal control (TSC) is essential for reducing the average delay experienced by the road users amidst the rapid increase in the usage of vehicles. In this paper, we formulate the TSC problem as a discounted cost Markov decision process (MDP) and apply multi-agent reinforcement learning (MARL) algorithms to obtain dynamic TSC policies. We model each traffic signal junction as an independent agent. An agent decides the signal duration of its phases in a round-robin (RR) manner using multi-agent Q-learning with either is an element of-greedy or UCB 3] based exploration strategies. It updates its Q-factors based on the cost feedback signal received from its neighbouring agents. This feedback signal can be easily constructed and is shown to be effective in minimizing the average delay of the vehicles in the network. We show through simulations over VISSIM that our algorithms perform significantly better than both the standard fixed signal timing (FST) algorithm and the saturation balancing (SAT) algorithm 15] over two real road networks.

Optimization of bus allocation to depots by minimizing dead kilometers

In metropolitan cities, public transportation service plays a vital role in mobility of people, and it has to introduce new routes more frequently due to the fast development of the city in terms of population growth and city size. Whenever there is introduction of new route or increase in frequency of buses, the nonrevenue kilometers covered by the buses increases as depot and route starting/ending points are at different places. This non-revenue kilometers or dead kilometers depends on the distance between depot and route starting point/ending point. The dead kilometers not only results in revenue loss but also results in an increase in the operating cost because of the extra kilometers covered by buses. Reduction of dead kilometers is necessary for the economic growth of the public transportation system. Therefore, in this study, the attention is focused on minimizing dead kilometers by optimizing allocation of buses to depots depending upon the shortest distance between depot and route starting/ending points. We consider also depot capacity and time period of operation during allocation of buses to ensure parking safety and proper maintenance of buses. Mathematical model is developed considering the aforementioned parameters, which is a mixed integer program, and applied to Bangalore Metropolitan Transport Corporation (BMTC) routes operating presently in order to obtain optimal bus allocation to depots. Database for dead kilometers of depots in BMTC for all the schedules are generated using the Form-4 (trip sheet) of each schedule to analyze depot-wise and division-wise dead kilometers. This study also suggests alternative locations where depots can be located to reduce dead kilometers. Copyright (C) 2015 John Wiley & Sons, Ltd.

Sistema Único de Saúde: de que sistema se trata?

Constata-se que a reforma sanitária brasileira representa um avanço na direção de uma concepção avançada de sistema de saúde. Entretanto o SUS, com toda a materialidade das reformas ao nível macro induzidas a partir dos avanços na legislação, a implantação da regionalização e hierarquização da assistência, e dos instrumentos de gestão, assim como todas as grandes organizações modernas, padece de problemas de coordenação na operação de suas ações. Este trabalho pretende discutir as possibilidades e limites das mudanças organizacionais induzidas pela implementação do SUS na configuração dos sistemas locoregionais de saúde, à luz das experiências internacionais e das contribuições mais recentes das teorias organizacionais, no contexto da transição do fordismo à acumulação flexível. A partir do referencial da teoria dos sistemas, considera-se a contribuição das teorias organizacionais fordistas, pós-fordistas e pós-modernistas na especificidade do campo da saúde coletiva, para discutir a efetividade dos seus subsistemas cibernéticos do SUS: controle, avaliação, regulação, auditoria e vigilância em saúde, no complexo contexto da configuração do poder deste setor. Verifica-se que o SUS, constituído a partir de culturas organizacionais fordistas, do antigo INAMPS e da Saúde Pública tradicional, não tem obtido êxito em configurar estruturas organizacionais competentes, na medida em que reproduz os modelos tradicionais nos seus sistemas de controle. Esta dificuldade em parte deve-se ao momento histórico, que fez coincidir o momento dos avanços na legislação, em direção à ampliação do direito à saúde, com o momento das reestruturações dos aparelhos estatais decorrente da crise global do modo de produção fordista, e com as profundas transformações demográficas, epidemiológicas e da tecnologia da assistência médica. Por outro lado, a disponibilidade de soluções pósfordistas propicia um padrão para a conformação de novas regras e novos modos de regulação do sistema de saúde, que induzam a comportamentos auto-reguladores por parte dos prestadores de serviços de saúde, considerando as metas de equidade e de melhoria da saúde da população. Conclui-se que a necessária reforma do setor saúde demanda o fortalecimento de uma tecno-burocracia protegida contra injunções político-partidárias, que possibilite a incubação uma cultura organizacional profissional em todas as esferas de governo e níveis de gestão, que incentive um trabalho em saúde competente e moralmente comprometido com as finalidades do SUS nesse país.