Approaches to Achieve Sustainability in Traffic Management

Boltze, Manfred; Tuấn, Vũ Anh

doi:10.1016/j.proeng.2016.02.033

Cited by 24 publications

(17 citation statements)

References 1 publication

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“…They concluded that the issuance and management of traffic are possible by implementing and utilizing the integrated traffic management systems. "Road, congestion and cordon pricing: tolling, distance pricing, or pricing based on time-of-day or congestion levels" [9], [11], [16], [18]- [25] Low/zero emission zones [26] Vehicle operating [27] Supply and pricing strategies [28] Lane managem ent [10], [14], [29] Speed enforcement devices & programs [24], [30], [31] Eco-driving, eco-routing (not requiring significant new technology) [10], [14], [29]…”

Section: Literature Reviewmentioning

confidence: 99%

“…Ramp meters [28] Electronic toll collection [32] Incident management systems [24] Signal, stop signs, and roundabout [33] adaptive signal systems, transit signal priority, and signal coordination [34]…”

Section: Traffic Flow Controlmentioning

confidence: 99%

“…Shared-ride programs: carpool/vanpool/rideshare programs, incentives, and services [35] Employer programs for trip reduction: flex-time, telework [11], [30] Transit improvements: pricing, service quality, etc. [36] Pedestrian and bicycle facilities: roadway & trip-end facilities [28], [32] Outreach & marketing (to reduce auto use) [24], [28], [33]…”

Section: Trip Reduction Strategiesmentioning

confidence: 99%

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Factors Affecting Traffic Management using Two Step Cluster

Yaduvanshi,

Bansal,

Kumar

2019

IJEAT

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The concept of traffic congestion and traffic management is ambiguous in nature. The traffic and congestion is dependent on a number of factors that might impact the stretch of road or the framework of the traffic management systems. As the evolution of internet in last one decade and its reach to the very last person on this planet, this provides the basket of new opportunity of managing the traffic and its patterns on the basis of live traffic data from the onsite cameras, sensors, and the google maps traffic forecast the situation of traffic congestion would be avoided, which directly helps in reducing the load on environment and saving some valuable time of the commuters, and indirectly having large savings on the countries resources. In this research paper the authors have identified the factors affecting the management, flow, and working of traffic on the toll roads, national highways, and dedicated fright corridors in specific from the literature. The identified factors have been analyzed using quantitative statistical tools such as: relative importance index, Cronbach’s alpha, and cluster analysis to know the predictor importance. For this study a total of 192 valid responses were received using structured questionnaire survey. On the basis of data analysis the recommendation have be drawn and shared with the government authorities to be implemented on the highways to facilitate the commuters and all the other stakeholders associated with the traffic and traffic management. The findings of the relative importance index conclude that the most significant attributes of traffic management are No tolling for e-vehicles, use of information boards to avoid any traffic situations, and savings on fuels. Furthermore the findings of the cluster analysis concludes that the most important predictor is no-tolling for e-vehicles, followed by savings on fuels.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Traffic Flow Controlmentioning

confidence: 99%

Section: Trip Reduction Strategiesmentioning

confidence: 99%

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Factors Affecting Traffic Management using Two Step Cluster

Yaduvanshi,

Bansal,

Kumar

2019

IJEAT

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“…Sustainable transport is a new idea that considers transport as contributing to economic and social development while meeting a long-term dynamic coordination between the transport system and the external environment [3]. At present, developing countries are facing serious transport problems [4] and China is no exception. In the past 30 years in China, Sustainability 2018, 10, 2399 2 of 23 traffic congestion, traffic accidents, and air pollution caused by transport become increasingly serious.…”

Section: Introductionmentioning

confidence: 99%

Regional Differences and Spatial Aggregation of Sustainable Transport Efficiency: A Case Study of China

Sun

et al. 2018

Sustainability

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In the past few decades, traffic congestion, traffic accidents, and air pollution caused by transport become increasingly serious in China, so the issue of sustainable development of transport has attracted much attention. This study explores the development level of provincial sustainable transport in China, measures the level of sustainable development of China's transport from the perspective of transport efficiency, and analyzes the differences and spatial effects of sustainable transport development. The undesired output of the super slacks-based-measurement data envelopment analysis (US-SBM-DEA) model is used to measure the sustainable transport efficiency (STE) in different provinces of China, and then the coefficient of variation (CV) and Gini coefficient (GC) are used to explore the regional differences of STE. Finally, we analyze the spatial aggregation of STE by the index of Moran's I. The results show that the regional mean of STE presents a distribution in the order of eastern > western > central > northeastern regions. The CV reveals that there is a local σ-convergence in the STE differences among the four regions during the study period. The Moran scatter plot of STE shows that the provincial STEs in China are mainly the aggregations of high-low and low-low with the latter being more obvious. The GC basically remained at a relatively stable level during 2007-2015 while quickly decreased in 2016. i.e., the equity of sustainable transport increased dramatically in 2016. These results meet the actual development of the sustainable transport in China's provinces and reflect the level of sustainable transport efficiency more objectively. The results of this study provides theoretical support for the provincial governments to formulate efficient transport policies.

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“…However, when generating incentives for travellers, few ITSs take individual travellers’ preferences and incentive multi-dimensional goals into consideration. Some ITSs simply broadcast traffic signals, state information or non-personalized travel guidance to travellers [ 12 ]. Some systems, such as the Advanced Traveller Information Systems [ 13 ] and Cooperative Multi-agent Transportation Management and Route Guidance System [ 14 ], were proposed to meet the incentive challenge.…”

Section: Introductionmentioning

confidence: 99%

A Game-Theory Based Incentive Framework for an Intelligent Traffic System as Part of a Smart City Initiative

Mei

Poslad

2017

Sensors

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Intelligent Transportation Systems (ITSs) can be applied to inform and incentivize travellers to help them make cognizant choices concerning their trip routes and transport modality use for their daily travel whilst achieving more sustainable societal and transport authority goals. However, in practice, it is challenging for an ITS to enable incentive generation that is context-driven and personalized, whilst supporting multi-dimensional travel goals. This is because an ITS has to address the situation where different travellers have different travel preferences and constraints for route and modality, in the face of dynamically-varying traffic conditions. Furthermore, personalized incentive generation also needs to dynamically achieve different travel goals from multiple travellers, in the face of their conducts being a mix of both competitive and cooperative behaviours. To address this challenge, a Rule-based Incentive Framework (RIF) is proposed in this paper that utilizes both decision tree and evolutionary game theory to process travel information and intelligently generate personalized incentives for travellers. The travel information processed includes travellers’ mobile patterns, travellers’ modality preferences and route traffic volume information. A series of MATLAB simulations of RIF was undertaken to validate RIF to show that it is potentially an effective way to incentivize travellers to change travel routes and modalities as an essential smart city service.

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Approaches to Achieve Sustainability in Traffic Management

Cited by 24 publications

References 1 publication

Factors Affecting Traffic Management using Two Step Cluster

Factors Affecting Traffic Management using Two Step Cluster

Regional Differences and Spatial Aggregation of Sustainable Transport Efficiency: A Case Study of China

A Game-Theory Based Incentive Framework for an Intelligent Traffic System as Part of a Smart City Initiative

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