Optimally regulating disturbed metro traffic with passenger inconvenience in mind

Murata, S.; Goodman, C.J.

doi:10.1049/cp:19980102

Cited by 6 publications

(5 citation statements)

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“…For this, we propose a convenience model -a function of time delay, congestion, and seat availability experienced by passengers of Delhi and Paris. We choose time and congestion as the two parameters, inspired by the work in [2] that used a similar model for developing traffic regulators for metro rails. We also consider seat availability as another important parameter as we believe that comfort level is affected by seating time (also related to crowdedness in the metro).…”

Section: Convenience Modelmentioning

confidence: 99%

“…It is important to note that although a large body of work exists focusing on the use of ICT in multi-modal urban transportation in the western world ( [2], [3]), the rise of public transit in emerging markets brings unique challenges to the domain. Notably, although it can be assumed that all urban commuters in a country like India have mobile phones, even smart phones, not all might have data plans and might rely on SMS only.…”

Section: Introductionmentioning

confidence: 99%

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Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Bajaj

Bouloukakis

Pathak

et al. 2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

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Abstract-The smart cities of the future are expected to be serviced by advanced, personalized multimodal transit systems, charged with timely transport of citizens. Optimizing routes on such networks is a complex problem, in part due to the fact that simple metrics such as latency by themselves are not sufficient to find the best routes. In this paper, we focus on the problem of providing commuters with personalized routes with the most convenience. We present our mathematical model of user convenience during a multi-leg journey, and the overview of a middleware for enabling convenient transit (including ensuring acceptable network connectivity to mobile apps) by using crowdsourcing. We also report on initial insights obtained through empirical studies on network connectivity and user-perception of convenience in Delhi, India, and Paris, France.

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Section: Convenience Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Bajaj

Bouloukakis

Pathak

et al. 2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

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“…(3)Construction and operation technology power are in need. The situation of such shortages were mainly manifested in survey, design, construction and operation management technical, and high-end talent and rich experience backbone, therefore the security operation of metro depot and cover property need further research [3].…”

Section: The Challenge In the Field Of Urban Rail Transitmentioning

confidence: 99%

Safeguard System of Henggang Depot and Cover Property of Shenzhen Metro

Liu

Cao

2012

AMM

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In recent years, urban rail transit construction asks for the safety of project with strict requests, because of its difficulty, high risk and complexity characteristics. Henggang metro depot possess double using garage , DC1500 contact rail system, and cover property on the top of the garage, thus it will face greater challenge in safety management. According to above characteristics, this research puts forward the system security goals, principles, and establishes a set of safeguard system, which includes three aspects: the legal laws and regulations, the organization construction, and the technical method. The safeguard system will play an important and guiding role in government standard formation and metro-property development mode promotion in other cities.

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“…In addition, quadratic function is used to model the relationship between expected passenger demand and waiting time at the interchange station. It may be argued that other functions are feasible, and perhaps more accurate, but quadratic functions are simple and have been employed to model passenger expectation on waiting and traveling times in railways (Murata and Goodman 1998). In addition, regression analysis has been widely employed in transportation to obtain demand forecasts (Boyer 1998).…”

Section: Assumptionsmentioning

confidence: 99%

Train Schedule Coordination at an Interchange Station Through Agent Negotiation

Tsang

2011

Transportation Science

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I n open railway markets, coordinating train schedules at an interchange station requires negotiation between two independent train-operating companies to resolve their operational conflicts. This paper models the stakeholders as software agents and proposes an agent negotiation model to study their interaction. Three negotiation strategies have been devised to represent the possible objectives of the stakeholders, and they determine the behavior of the stakeholders in proposing offers to other stakeholders. Empirical simulation results confirm that the use of the proposed negotiation strategies lead to outcomes that are consistent with the objectives of the stakeholders.

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Optimally regulating disturbed metro traffic with passenger inconvenience in mind

Cited by 6 publications

References 0 publications

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Safeguard System of Henggang Depot and Cover Property of Shenzhen Metro

Train Schedule Coordination at an Interchange Station Through Agent Negotiation

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