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Antonio Comi and Antonio Polimeni
Bus travel time analysis plays a key role in transit operation planning, and methods are needed for investigating its variability and for forecasting need. Nowadays, telematics is opening up new opportunities, given that large datasets can be gathered th...
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Spyros Kontogiannis, Andreas Paraskevopoulos and Christos Zaroliagis
We consider the problem of computing a set of meaningful alternative origin-to-destination routes, in real-world road network instances whose arcs are accompanied by travel-time functions rather than fixed costs. In this time-dependent alternative route ...
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Yeran Sun, Yinming Ren and Xuan Sun
Recently, Uber released datasets named Uber Movement to the public in support of urban planning and transportation planning. To prevent user privacy issues, Uber aggregates car GPS traces into small areas. After aggregating car GPS traces into small area...
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Porntep Puangprakhon, Sorawit Narupiti
Pág. 2208 - 2221
Probe-based data collection system, which deploys movable sensors in traffic streams to collect traffic records, is commonly used for area-wide measurement of travel times and conditions of traffics on road networks. However, due to sparse distribution o...
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Yunliang Li, Qi Zhang and Jing Yao
Most biochemical processes and associated water quality in lakes depends on their flushing abilities. The main objective of this study was to investigate the transport time scale in a large floodplain lake, Poyang Lake (China). A 2D hydrodynamic model (M...
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Muhammad Ashraf Javid, Hanan Saif Al-Khatri, Sawsan Said Al-Abri, Nazam Ali, Krisada Chaiyasarn and Panuwat Joyklad
As everyone spends much time traveling, engaged in leisure or work activities, travel time represents one of the largest costs to transportation. The main objective of the study is to investigate travelers? perceptions related to value of travel time sav...
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Zhenzhong Yin and Bin Zhang
Providing accurate and real-time bus travel time information is crucial for both passengers and public transportation managers. However, in the traditional bus travel time prediction model, due to the lack of consideration of the influence of different b...
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Shanjiang Zhu, Gege Jiang, Hong K. Lo
Pág. 664 - 678
Empirical studies showed that travel time reliability, usually measured by travel time variance, is strongly correlated with travel time itself. Travel time is highly volatile when the demand approaches or exceeds the capacity. Travel time variability is...
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Yang-Kuei Lin, Chien-Fu Chen and Tien-Yin Chou
Convenience store chains are many people?s top choice for dining and leisure and have logistics procedures that involve each store receiving multiple deliveries because of the varying delivery periods and suitable temperatures for different goods. The es...
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Keyju Lee and Junjae Chae
The vehicle routing problem (VRP) attempts to find optimal (minimum length) routes for a set of vehicles visiting a set of locations. Solving a VRP calls for a cost matrix between locations. The size of the matrix grows quadratically with an increasing n...
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Zilin Zhao, Yuanying Chi, Zhiming Ding, Mengmeng Chang and Zhi Cai
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow ...
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Thi-Phuong Nguyen, Chin-Lung Huang and Yi-Kuei Lin
A stochastic cold chain (SCC) is a common supply chain in real life that emphasizes the need for commodities to arrive fresh within time constraints. In previous research on supply chains, the time factor was regarded as a fixed number. However, the trav...
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Ziqi Jin, Ruoteng Wang and Ying Shi
Seismic attenuation is often calculated by attenuated travel time tomography. The accuracy of this method is controlled by the precision of attenuated travel time. In this paper, a novel T* revise in attenuated travel time tomography method for Q inversi...
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Rathachai Chawuthai, Nachaphat Ainthong, Surasee Intarawart, Niracha Boonyanaet and Agachai Sumalee
This study proposes a method by which to predict the travel time of vehicles on long-distance road segments in Thailand. We adopted the Self-Attention Long Short-Term Memory (SA-LSTM) model with a Butterworth low-pass filter to predict the travel time on...
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Palaiologos Palaiologou, Kostas Kalabokidis, Michelle A. Day, Alan A. Ager, Spyros Galatsidas and Lampros Papalampros
Predicting where the next large-scale wildfire event will occur can help fire management agencies better prepare for taking preventive actions and improving suppression efficiency. Wildfire simulations can be useful in estimating the spread and behavior ...
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Chaloemporn Ponprasit, Yong Zhang and Wei Wei
Backward probabilities have been used for decades to track hydrologic targets such as pollutants in water, but the convenient deviation and scale effect of backward probabilities remain unknown. This study derived backward probabilities for groundwater p...
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Kelin Luo and Frits C. R. Spieksma
Motivated by applications in ride-sharing and truck-delivery, we study the problem of matching a number of requests and assigning them to cars. A number of cars are given, each of which consists of a location and a speed, and a number of requests are giv...
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Bob Fedor and Jeremy Straub
Artificial intelligence techniques, such as particle swarm optimization, are used to solve problems throughout society. Optimization, in particular, seeks to identify the best possible decision within a search space. Problematically, particle swarm optim...
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Owen Tamin, Badrul Ikram, Ahmad Lutfi Amri Ramli, Ervin Gubin Moung and Christie Chin Pei Yee
Travel time is a measure of time taken to travel from one place to another. Global Positioning System (GPS) navigation applications such as Waze and Google Maps are easily accessible presently and allow users to plan a route based on travel time from one...
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Anson Stewart, P. Christopher Zegras
Pág. 635 - 650
As transport planners increasingly frame project impacts in accessibility terms, it is worth considering how this foundational land-use transport interaction concept can shape stakeholder attitudes. In this paper, we test whether framing the benefits of ...
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