Special issue on methodological advancements in understanding and managing urban traffic congestion

Renxin Zhong · Zhengbing He · Andy H.F. Chow · Victor L. Knoop

11 citations0/0 files storedTransportmetrica A Transport Science

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

The increasing population in cities induces a high travel demand. Unfortunately, due to the limited capacity of urban transport networks, this increasing demand for travel raises various problems a...

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 11 citations exist upstream.

References

2019Credit- and permit-based travel demand management state-of-the-art methodological advances 2020Fare incentive strategies for managing peak-hour congestion in urban rail transit networks 2019Nonnegative tensor decomposition for urban mobility analysis and applications with mobile phone data 2019Modeling travel time volatility using copula-based Monte Carlo simulation method for probabilistic traffic prediction

Cited by

2025Establishing normative scores of affect, safety, and comfort for bicycling infrastructure and traffic conditions

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.