Mumbai (Bombay)

Ranade, A.; Arnold, Alison; Booth, Gregory D.

doi:10.5040/9781501329173-0001383

Cited by 2 publications

(3 citation statements)

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“…We mention few of cases here but is not limited to and application area is continuously growing. Mumbai Navigator is similar experimental travel planning program developed at IIT-Bombay for the city of Mumbai [20]. On selecting the origin and destination of travel from the list, produces a travel plan, with an estimate of the total journey time including the waiting time.…”

Section: Resultsmentioning

confidence: 99%

Distributed Context Tree Weighting (CTW) for route prediction

Tiwari

Arya

2018

Open geospatial data, softw. stand.

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Route prediction play a vital role in many important location-based applications like resource prediction in grid computing, traffic congestion estimation, vehicular ad-hoc networks, travel recommendation etc. The goal of this work is to design scalable route prediction application based on Context Tree Weighting (CTW) modeling of user travel data. CTW is one of the widely used technique for text compression as well string sequence indexing and for prediction. CTW tree construction from the huge volume of data by sequential processing is time-consuming in practical implementation. Existing techniques are designed for single machine and their implementation on the distributed environment is still a challenge. This work focuses on achieving horizontal scalability of CTW and addresses various challenges in distributed construction like reducing I/O, parallel computation of sequences and coming up with final CTW tree in a distributed environment efficiently. Map Reduce framework running over Hadoop file system is used for processing in distributed mode. Large GPS data set is map-matched to digitized road network obtained from Open Street Map and CTW model is built. A two-step construction of CTW tree is proposed which is implemented in the map-reduce framework. Horizontally scalable CTW model is built and evaluated for route prediction from a huge corpus of historical GPS traces.

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Section: Resultsmentioning

confidence: 99%

Distributed Context Tree Weighting (CTW) for route prediction

Tiwari

Arya

2018

Open geospatial data, softw. stand.

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“…Thus, the “lifeline” is orphaned between multiple silos and jurisdictions. This fragmentation directly impacts the planning, coordination, and operations of the services (Ranade, 2017). This also suggests that a single body or a coordination mechanism for the entire transport system would benefit from faster and smoother decisions and yielding fruitful results (S. Jain, 2017, Oct 1).…”

Section: Discussion: Accimap Analysis Crowd Dynamics and Its Implicat...mentioning

confidence: 99%

“…MRVC is an autonomous body that exercises infrastructural work for the Mumbai suburban railways, approved by the Ministry of Railways. However, the local body does not exercise any autonomy or power to exercise certain decisions without the approval of other higher bodies (P. Jain, 2017, Oct 9; S. Jain, 2017, Oct 1; Ranade, 2017).…”

Section: Accimap Analysismentioning

confidence: 99%

Accimap and crowd flow in urban infrastructure: Case study of Elphinstone road railway station tragedy, Mumbai, India

Kant

Khobragade

2022

Hum Ftrs & Erg Mfg Svc

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The aim of this article is to show how Human Factors and Ergonomics (HFE) methods can be used to improve urban public infrastructure systems in densely populated countries, such as India. In this case, we use Accimap analysis with crowd flow approaches to inform safety and policy. We demonstrate the need for sociotechnical systemic safety by a case study of accident analysis of the Elphinstone Road railway station stampede. On September 29, 2017, the Elphinstone Road, Mumbai, India, railway platform bridge stampede killed at least 23 and injured 39 other commuters who traveled through the Mumbai Suburban railway. In this study, we understand the accident as it is presented in newspaper articles. We analyze the accident by a sociotechnical accident analysis method called the Accimap. The Accimap method helps by identification of various stakeholders and their interactions in the different levels of hierarchy in a sociotechnical system. This ensures moving away from individualistic and blame‐based accounts of media reporting to a coherent sociotechnical account based on understanding the dynamics of the situation. The findings from the Accimap analysis identify the problem areas in the commuter transit system and provide recommendations. These recommendations range from commuter flow management to enforcement of rules for supporting pedestrian flow. The article concludes with an emphasis on the development of the sociotechnical dimension of public safety and infrastructure from a human factors perspective, above and beyond what is currently practiced in India.

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Mumbai (Bombay)

Cited by 2 publications

References 0 publications

Distributed Context Tree Weighting (CTW) for route prediction

Distributed Context Tree Weighting (CTW) for route prediction

Accimap and crowd flow in urban infrastructure: Case study of Elphinstone road railway station tragedy, Mumbai, India

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