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Articles 1 - 8 of 8
Full-Text Articles in Social and Behavioral Sciences
Context-Aware Graph Convolutional Network For Dynamic Origin-Destination Prediction, Juan Nathaniel, Baihua Zheng
Context-Aware Graph Convolutional Network For Dynamic Origin-Destination Prediction, Juan Nathaniel, Baihua Zheng
Research Collection School Of Computing and Information Systems
A robust Origin-Destination (OD) prediction is key to urban mobility. A good forecasting model can reduce operational risks and improve service availability, among many other upsides. Here, we examine the use of Graph Convolutional Net-work (GCN) and its hybrid Markov-Chain (GCN-MC) variant to perform a context-aware OD prediction based on a large-scale public transportation dataset in Singapore. Compared with the baseline Markov-Chain algorithm and GCN, the proposed hybrid GCN-MC model improves the prediction accuracy by 37% and 12% respectively. Lastly, the addition of temporal and historical contextual information further improves the performance of the proposed hybrid model by 4 –12%.
Improving The Performance Of Transportation Networks: A Semi-Centralized Pricing Approach, Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
Improving The Performance Of Transportation Networks: A Semi-Centralized Pricing Approach, Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
Research Collection School Of Computing and Information Systems
Improving the performance of transportation network is a crucial task in traffic management. In this paper, we start with a cooperative routing problem, which aims to minimize the chance of road network breakdown. To address this problem, we propose a subgradient method, which can be naturally implemented as a semi-centralized pricing approach. Particularly, each road link adopts the pricing scheme to calculate and adjust the local toll regularly, while the vehicles update their routes to minimize the toll costs by exploiting the global toll information. To prevent the potential oscillation brought by the subgradient method, we introduce a heavy-ball method …
Is Uber Bad For The Environment?, Singapore Management University
Is Uber Bad For The Environment?, Singapore Management University
Perspectives@SMU
Research finds Uber’s carbon footprint depended on the characteristics of individual cities
How Much Do Users Value A Network Expansion? Evidence From The Public Transit System In Singapore, Eric Fesselmeyer, Haoming Liu
How Much Do Users Value A Network Expansion? Evidence From The Public Transit System In Singapore, Eric Fesselmeyer, Haoming Liu
Research Collection College of Integrative Studies
We estimate the network effects of a public transit system by examining the impact of its expansion on housing prices. Our results show that a major expansion of Singapore's Mass Rapid Transit (MRT) system increased the price of apartments within 0.5 km of a pre-expansion station by 1.8% relative to apartments that were further away from a station. Evaluated at the mean housing price, the expansion increased the value of pre-connected apartments by at least S$455 million in aggregate, which is equivalent to 9% of the estimated S$5 billion cost of the expansion.
How Much Do Users Value A Network Expansion? Evidence From The Public Transit System In Singapore, Eric Fesselmeyer, Haoming Liu
How Much Do Users Value A Network Expansion? Evidence From The Public Transit System In Singapore, Eric Fesselmeyer, Haoming Liu
Research Collection College of Integrative Studies
We estimate the network effects of a public transit system by examining the impact of its expansion on housing prices. Our results show that a major expansion of Singapore's Mass Rapid Transit (MRT) system increased the price of apartments within 0.5 km of a pre-expansion station by 1.8% relative to apartments that were further away from a station. Evaluated at the mean housing price, the expansion increased the value of pre-connected apartments by at least S$455 million in aggregate, which is equivalent to 9% of the estimated S$5 billion cost of the expansion.
Situation-Aware Authenticated Video Broadcasting Over Train-Trackside Wifi Networks, Yongdong Wu, Dengpan Ye, Zhuo Wei, Qian Wang, William Tan, Robert H. Deng
Situation-Aware Authenticated Video Broadcasting Over Train-Trackside Wifi Networks, Yongdong Wu, Dengpan Ye, Zhuo Wei, Qian Wang, William Tan, Robert H. Deng
Research Collection School Of Computing and Information Systems
Live video programmes can bring in better travel experience for subway passengers and earn abundant advertisement revenue for subway operators. However, because the train-trackside channels for video dissemination are easily accessible to anyone, the video traffic are vulnerable to attacks which may cause deadly tragedies. This paper presents a situation-aware authenticated video broadcasting scheme in the railway network which consists of train, on-board sensor, trackside GSM-R (Global System for Mobile Communications-Railway) device, WiFi AP (Access Point), and train control center. Specifically, the scheme has four modules: (1) a train uses its on-board sensors to obtain its speed, location, and RSSI …
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Research Collection School Of Computing and Information Systems
We advocate for and introduce TRANSense, a framework for urban transportation service analytics that combines participatory smartphone sensing data with city-scale transportation-related transactional data (taxis, trains etc.). Our work is driven by the observed limitations of using each data type in isolation: (a) commonly-used anonymous city-scale datasets (such as taxi bookings and GPS trajectories) provide insights into the aggregate behavior of transport infrastructure, but fail to reveal individual-specific transport experiences (e.g., wait times in taxi queues); while (b) mobile sensing data can capture individual-specific commuting-related activities, but suffers from accuracy and energy overhead challenges due to usage artefacts and lack …
Affordable Fares, Sustainable Public Transport: The Fare Review Mechanism Committee Report, Sock Yong Phang
Affordable Fares, Sustainable Public Transport: The Fare Review Mechanism Committee Report, Sock Yong Phang
Research Collection School Of Economics
The public transport system in Singapore is the main mode of transport for the majority of the population. It is important that public transport remains generally affordable and accessible, with measures to help various commuter groups through fare assistance schemes. Household surveys show that public transport has become more affordable as a proportion of monthly household income over the years. Public transport fares have increased, but at a much lower rate than increases in income. At the same time, increasing fuel costs and other changes in the public transport landscape since 2005 mean that the public transport industry faces declining …