Computer modeling of a fire hazard and evacuation of transportation tunnels with longitudinal ventilation system

Schmidt-Polończyk, Natalia

doi:10.7494/mining.2013.37.1.93

Cited by 2 publications

(2 citation statements)

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“…This gives options to drivers choosing desired speed and maneuver within the traffic flow [16]. Unfortunately, result from our SD optimization analysis shows the targeted congestion index < 0.6 value is not achievable due to the highly non-linear spaces in the transportation modelling that causes the best value to be trapped in a local minima [11], [1]. Moreover, the many rules and constraints bounded within the transportation system effects the search of the best value in the solution space [15], [12].…”

Section: Resultsmentioning

confidence: 99%

“…However, the efforts did not resolve the problem but create more congested roads in the city as the accessibility of new roads attracts more travellers [10]. Thus, under the National Key Result Area, the government has focused improvement in the investment of public transportation infrastructures to raise its mode share added that the expansion of roads is constrained by limited space in inner areas of Kuala Lumpur [11].…”

Section: Introductionmentioning

confidence: 99%

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Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area

Idris

2022

JEBI

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Urbanization is heavily influenced by the transportation that becomes fundamental to the mobility of human activities. However, unchecked growth in transportation raises serious concerns about many issues such as congestions, limited parking, and public transit problem. This phenomenon also overwhelms Kuala Lumpur, the capital city of Malaysia that has a high number of car ownership. Consequently, traffic congestion in urban area has affected people living there in terms of lost time on the road and waste of fuel consumption. In this regard, this research aims to minimize the congestion index and mode share in Kuala Lumpur based on the tested of six travel demand strategy variables. The problem was model and optimized using system dynamics (SD) optimization approach. Results of the developed SD optimization model shows that the optimized congestion index is 0.89863 while the mode share is 52.87% in 2030 compared to SD baserun which are only 1.1021 and 21.7% for congestion index and mode share respectively. This finding shows that SD optimization performed a better result in terms of achieving the targeted of congestion index and mode share of < 0.6 and 50% by 2030 compared to SD baserun. From the managerial perspective, this research helps towards achieving the government’s congestion index and mode share targets through strategizing the ways on attracting public transportation and discouraging the usage of private cars in Kuala Lumpur.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area

Idris

2022

JEBI

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Numerical Simulation of the Evacuation Process and Smoke Propagation Due to a Fire in a Road Tunnel With Transverse Ventilation System

Halawa

2020

Journal of Thermal Science and Engineering Applications

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Fire accidents in road tunnels can form a great danger on the life of people if the evacuation process does not happen effectively. This paper introduces a numerical investigation of fire and evacuation analysis in a road tunnel and provides important insights into the conditions that people are exposed to during evacuation. The fire was assumed to originate from a bus with a fire size of 30 MW at the moment corresponding to the peak heat release rate. Results including smoke distribution, visibility distribution, paths of people during evacuation, people existence density and people speed are presented and analyzed. One of the important findings of this paper is the estimation of the time available for people to evacuate safely before the approach of the smoke layer to the occupation zone causing deterioration of the visibility values. Discussion introduced a clarification of the connection between time of exposure to smoke, people speed and smoke propagation speed. Results showed that the time of exposure to smoke during evacuation can be significantly increased if the fire size is increased especially for persons located within 15 meters from the fire location and take more than two minutes to take the decision of evacuation.

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Computer modeling of a fire hazard and evacuation of transportation tunnels with longitudinal ventilation system

Cited by 2 publications

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Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area

Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area

Numerical Simulation of the Evacuation Process and Smoke Propagation Due to a Fire in a Road Tunnel With Transverse Ventilation System

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