Online expert system for urban transport demand management in developing countries

2015 ◽  
Author(s):  
Abduraouf B.Z. Alshetwi ◽  
Noor Ezlin Ahmad Basri ◽  
Riza Atiq Abdullah Bin O.K. Rahmat
Keyword(s):  
Developing Countries ◽  
Expert System ◽  
Demand Management ◽  
Urban Transport

scholarly journals Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

2021 ◽  
Vol 13 (12) ◽  
pp. 6777
Author(s):  
Masanobu Kii ◽  
Yuki Goda ◽  
Varameth Vichiensan ◽  
Hiroyuki Miyazaki ◽  
Rolf Moeckel
Keyword(s):  
Developing Countries ◽  
Travel Time ◽  
Demand Management ◽  
Likelihood Estimation ◽  
Road Transport ◽  
Peak Shift ◽  
Time Shift ◽  
Peak Time ◽  
Management Scenarios ◽  
The Impact

Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

scholarly journals Medical Diagnosis Expert System for Malaria and Related Diseases for Developing Countries

2018 ◽  
Vol 07 (02) ◽  
pp. 43-56
Author(s):  
Kenneth Ikechukwu Nkuma-Udah ◽  
Gloria Azogini Chukwudebe ◽  
Emmanuel Nwabueze Ekwonwune
Keyword(s):  
Developing Countries ◽  
Expert System ◽  
Medical Diagnosis

scholarly journals Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources

2020 ◽  
Vol 12 (8) ◽  
pp. 3115
Author(s):  
Ronggang Zhang ◽  
Sathishkumar V E ◽  
R. Dinesh Jackson Samuel
Keyword(s):  
Renewable Energy ◽  
Expert System ◽  
Energy Management ◽  
Smart Home ◽  
Demand Management ◽  
Fuzzy Expert System ◽  
Renewable Energy Resources ◽  
Home Management ◽  
Efficient Energy ◽  
Input Variables

This article provides a fuzzy expert system for efficient energy smart home management systems (FES-EESHM), demand management, renewable energy management, energy storage, and microgrids. The suggested fuzzy expert framework is utilized to simplify designing smart microgrids with storage systems, renewable sources, and controllable loads on resources. Further, the fuzzy expert framework enhances energy and storage to utilize renewable energy and maximize the microgrid’s financial gain. Moreover, the fuzzy expert system utilizes insolation, electricity price, wind speed, and load energy controllably and unregulated as input variables to enable energy management. It uses input variables including insolation, electrical quality, wind, and the power of uncontrollable and controllable loads to allow energy management. Furthermore, these input data can be calculated, imported, or predicted directly via grid measurement using any prediction process. In this paper, the input variables are fuzzified, a series of rules are specified by the expert system, and the output is de-fuzzified. The findings of the expert program are discussed to explain how to handle microgrid power consumption and production. However, the decisions on energy generated, controllable loads, and own consumption are based on three outputs. The first production is for processing, selling, or consuming the energy produced. The second output is used for controlling the load. The third result shows how to produce for prosumer’s use. The expert method can be checked via the hourly input of variable values. Finally, to confirm the findings, the method suggested is compared to other available approaches.

Path Reconstruction of Intelligent Traffic Based on Positive Feedback System

2014 ◽  
Vol 513-517 ◽  
pp. 3160-3164
Author(s):  
Xue Li Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Intelligent Systems ◽  
Supply And Demand ◽  
Demand Management ◽  
Reference Value ◽  
Feedback System ◽  
Urban Traffic ◽  
Urban Transport ◽  
Traffic Demand

Traffic congestion are prevalent in worldwide cities. The imbalance between demand and supply of urban traffic is the root cause of this problem. So taking effective measures to regulate traffic demand, and guiding the traffic problems of the supply and demand balance is the best way to solve traffic congestion. This paper improves the TDM measure, and combines with intelligent information platform for the design of a new urban transport demand management adaptability of dynamic traffic data analysis platform. The platform supported by the technology of wireless sensor communications, intelligent terminals, the Internet and cloud computing is facing with the dynamic needs of traffic flow and traffic congestion state to carry out the operations of spatiotemporal data mining, clustering, and track detection, and to apply it into the traffic hot spots, abnormal driving track, traffic congestion trends and traffic flow detection and analysis, which has a good reference value for the improvement of management and service level of traffic intelligent systems.

Hybrid urban transport systems in developing countries: Portents and prospects

2013 ◽  
Vol 39 (1) ◽  
pp. 121-132 ◽  
Author(s):  
Pablo Salazar Ferro ◽  
Roger Behrens ◽  
Peter Wilkinson
Keyword(s):  
Developing Countries ◽  
Urban Transport ◽  
Transport Systems

World Expo 2010 Promotes the Reduction in Carbon Emissions of Urban Transport

2014 ◽  
Vol 522-524 ◽  
pp. 1826-1830
Author(s):  
Lin Hui Zeng ◽  
Guang Ming Li
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Carbon Emission ◽  
Travel Demand ◽  
Demand Management ◽  
Ghg Emissions ◽  
Vital Role ◽  
Urban Transport ◽  
Transport Sector ◽  
Travel Demand Management

Transport sector is one of the main sources of anthropogenic greenhouse gases (GHG) emissions. Comprehensive countermeasures are needed in cities to mitigate transport GHG emissions. After reviewing green traffic measures that implemented by Shanghai since bidding for Expo 2010, this paper analyzes the achievement that Shanghai has made in carbon mitigation. The results showed that travel demand management and the constrcution public transportation infrastructure promoted by the event played a vital role in promoting mode shift to form public transport oriented traffic system. Carbon emission intensity of Shanghais urban transport declined steadily from 1.66 kg/trip to 1.55 kg/trip. The CO2 reduction attributable to mode shifts amounted to 4.99 million tons. It demonstrated that Shanghai Expo has promoted the city in carbon emission reduction through public transport improvement, new energy vehicles innovation, car growth restriction measures and green commuting initiate.

Air Pollution and Seasonality Effects on Mode Choice in China

2017 ◽  
Vol 2634 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Weibo Li ◽  
Maria Kamargianni
Keyword(s):  
Air Pollution ◽  
Developing Countries ◽  
Air Quality ◽  
Positive Impact ◽  
Mode Choice ◽  
Urban Transport ◽  
Modal Shift ◽  
Pollution Levels ◽  
Study Results ◽  
The Impact

A modal shift from motorized to nonmotorized vehicles is imperative to reduce air pollution in developing countries. Nevertheless, whether better air quality will improve the willingness to use nonmotorized transport remains unclear. If such a reciprocal effect could be identified, a sort of virtuous circle could be created (i.e., better air quality could result in higher nonmotorized transport demand, which in turn could further reduce air pollution). Developing countries may, therefore, be more incentivized to work on air pollution reduction from other sources to exploit the extra gains in urban transport. This study investigated the impact of air pollution on mode choices and whether nonmotorized transport was preferred when air quality was better. Revealed preference data about the mode choice behavior of the same individuals was collected during two seasons (summer and winter) with different air pollution levels. Two discrete mode choice models were developed (one for each season) to quantify and compare the impacts of different air pollution levels on mode choices. Trip and socioeconomic characteristics also were included in the model to identify changes in their impacts across seasons. Taiyuan, a Chinese city that operates a successful bikesharing scheme, was selected for a case study. The study results showed that air quality improvement had a significant, positive impact on nonmotorized transport use, which suggested that improvements in air quality and promotion of nonmotorized transport must be undertaken simultaneously because of their interdependence. The results of the study could act as a harbinger to policy makers and encourage them to design measures and policies that lead to sustainable travel behavior.

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