Economic Strategies to Alleviate Traffic Congestion: Evidences from an Indian City

Muneera, C. P.; Karuppanagounder, Krishnamurthy

doi:10.1007/978-981-16-4396-5_59

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Statistics demonstrate the need for dynamic rerouting. For instance, delays caused by congestion cost large economies billions of dollars annually, highlighting the economic consequences of poor routing [4]. In addition, real-time rerouting is crucial for supply chains and passenger convenience due to the increasing frequency of harsh weather and unforeseen delays.…”

Section: Introductionmentioning

confidence: 99%

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Pratap

2024

Preprint

View full text Add to dashboard Cite

<p>The emergence of dynamic rerouting in multi-modal transportation networks has emerged as a crucial area in operations research, revolutionizing routine optimization. The review study analyzes multiple research publications on algorithms and techniques related to dynamic rerouting to give a thorough summary of the state of research in this field and provide future suggestions. The research paper explains the importance of dynamic rerouting in modern transportation systems and recognizes its critical role in tackling issues like accidents, traffic congestion, and infrastructure constraints. In addition, the review examines the development of dynamic rerouting techniques by examining several studies to uncover the theoretical foundation, technological developments, and effects of the practices on various forms of transportation. The paper emphasizes the potential of technological advancements such as artificial intelligence, the Internet of Things, and big data in transforming routing efficiencies. Further, the review presents specific difficulties and best practices for each mode of transportation, highlighting the many uses of dynamic rerouting in air, sea, rail, and road transportation. The review also digs deeper into the integration barriers common in multi-modal networks, highlighting successful case studies that overcome these obstacles as well as strategic approaches and regulatory modifications. Lastly, the research paper assesses the impact of dynamic rerouting on urban development, sustainability, and potential directions for future research such as the integration of large language models. The comprehensive literature review incorporates multiple research perspectives to offer significant insights into the efficacy, challenges, and potential future pathways for dynamic rerouting within multi-modal transportation networks.</p>

show abstract

Section: Introductionmentioning

confidence: 99%

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Pratap

2024

Preprint

View full text Add to dashboard Cite

show abstract

How rainfalls influence urban traffic congestion and its associated economic losses at present and in future: taking cities in the Beijing-Tianjin-Hebei region, China for example?

Zhou

Mao

Zhao

et al. 2022

Theor Appl Climatol

View full text Add to dashboard Cite

Tra c congestion is one of serious problems in cities; rainfalls would exacerbate tra c congestion, and thus result in huge economic losses. However, limited studies focused on how rainfalls in uenced tra c congestion and its associated economic losses. Based on detailed hourly data, we estimated how tra c congestion index (TCI) changed with different rainfall intensities in the Beijing-Tianjin-Hebei (BTH) region, China, and we also explored their economic losses. The results illustrated that all cities presented the similar trend of daily tra c congestion, and morning peak occurred 2 hours later on holidays than workdays. Rainfall had signi cant impacts on tra c congestion for most time windows, except midnight. Tra c congestion increased with rainfall intensities, but smaller cities were more vulnerable to rainfall intensity than megacities. Rainfalls led to 0.98 billion yuan of extra economic losses in 2019, 38% of which occurred under heavy rainfalls. Tra c congestion in 2019 caused a total economic cost of 31.5 billion yuan in the BTH region (0.4% of its GDP), including the recurrent cost and economic losses due to rainfalls; besides, the social cost and direct cost contributed the same share of 49.4%, with 1.2% from the environmental costs. Considering future urban development and climate change, it is bene cial to establish the climate-resilient transportation system for avoiding future serious tra c congestion as well as huge economic losses in future.

show abstract

Economic Strategies to Alleviate Traffic Congestion: Evidences from an Indian City

Cited by 2 publications

References 7 publications

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

Transportation Transformed: A Comprehensive Review of Dynamic Rerouting in Multimodal Networks

How rainfalls influence urban traffic congestion and its associated economic losses at present and in future: taking cities in the Beijing-Tianjin-Hebei region, China for example?

Contact Info

Product

Resources

About