Finding a good cup of coffee in Paris is difficult even among its world-renowned cafés, at least according to author David Downie (2011). We propose a solution that would allow tourists to create a map of the Paris Métro system from scratch that shows the locations of the cafés with the good coffee, while addressing the problem of the tourists losing interest in the process once they have found...

Traffic crashes are one of the biggest issues which constitute a threat to lives motorists and disrupt operations transportation system. To reduce number alleviate their impacts, it is necessary scrutinize factors contributing risk traffic crashes. Lately, visual analytics tools become very popular for data exploration obtaining insights from data. In this paper, new web-based visualization too...

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes modified Wells-Riley model for analysis to capture the passenger flow characteristics, including spatial and temporal patterns, number boarding alighting passengers, infectors. used assess overall as function origin–destination flows, actual operations, factors such mask-wearing ventila...

Since 1998, the New York City Metropolitan Transportation Authority (MTA) system has used prepaid cards (MetroCards) to collect subway and bus fares. In 2013, the MTA imposed a $1 card fee (surcharge) on new MetroCard purchases. After the card fee was imposed, riders started to put more money on new MetroCard purchases. The response to the card fee was greater in low-income neighborhoods and am...

the goal of this paper is to develop a decision support system (dss) as a journey planner in complex and large multimodal urban network called rahyar. rahyar attempts to identify the most desirable itinerary among all feasible alternatives. the desirability of an itinerary is measured by a disutility function, which is defined as a weighted sum of some criteria. the weights represent travelers’...

−A new faulty sensor monitoring method based on an adaptive neuro-fuzzy inference system (ANFIS) is proposed to improve the monitoring performance of indoor air quality (IAQ) in subway stations. To enhance network performance, a data preprocessing step for detecting outliers and treating missing data is implemented before building the monitoring models. A squared prediction error (SPE) monitori...

One of the main transportation problems biggest modern cities is excessively high load on ground transport, which why development subway networks particular importance. This article analyzes spatial structure in China. Currently China shows an intensive growth existing and massive openings new networks, makes it most suitable object for studying evolution networks. The methodology developed by ...

Environmental particle exposure, often estimated as the particulate mass of particles with a diameter <10 microm, <2.5 microm or <1 microm (PM(10), PM(2.5) or PM(1)), is known to have a negative impact on the health of the population. Little is known about how the size and origin of particles influence the effects. We have previously shown that exposure to a road tunnel environment causes a cel...

In this study, a double-sided linear switched reluctance motor (LSRM) drive was investigated as an alternative actuator for vertical linear transportation applications such as a linear elevator door, hospital and subway doors which move linearly and where accurate position control and rapid response is requested. A prototype sliding elevator door that is focused on a home elevator with LSRMs is...