Default: Transportation Research, Part C: Emerging Technologies

ISSN: 0968-090X

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Transportation Research, Part C: Emerging Technologies Q1 Unclaimed

Elsevier Ltd. United Kingdom
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Transportation Research, Part C: Emerging Technologies is a journal indexed in SJR in Computer Science Applications and Management Science and Operations Research with an H index of 133. It has a price of 2395 €. It has an SJR impact factor of 3,185 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 3,185.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Metrics

Transportation Research, Part C: Emerging Technologies

3,185

SJR Impact factor

133

H Index

327

Total Docs (Last Year)

834

Total Docs (3 years)

17795

Total Refs

8956

Total Cites (3 years)

824

Citable Docs (3 years)

10,15

Cites/Doc (2 years)

54,42

Ref/Doc



Best articles by citations

Passenger travel time and path choice implications of real-time transit information

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On the value of relative flow data

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Use of vehicle positioning data for arterial incident detection

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Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects

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On the modeling of passenger mobility for stochastic bi-modal urban corridors

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A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance

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Automated parking surveys from a LIDAR equipped vehicle

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A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters

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A Pareto-optimization approach for a fair ramp metering

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Continuum car-following model of capacity drop at sag and tunnel bottlenecks

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Dynamic trucking equilibrium through a freight exchange

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Arterial incident detection using fixed detector and probe vehicle data

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Instrumented city database analysts using multi-agents

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Multiagent architectures for intelligent traffic management systems

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Effects on driving behavior of congestion information and of scale of in-vehicle navigation systems

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Optimal privacy control for transport network data sharing

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Freeway ramp metering using artificial neural networks

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A combined methodology for transportation planning assessment. Application to a case study

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Privacy issues in electronic toll collection

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Real-time trip purpose prediction using online location-based search and discovery services

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Route choice and advanced traveler information systems on a capacitated and dynamic network

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Travel time studies with global positioning and geographic information systems: an integrated methodology

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Modeling the effects of traveler information on freeway origin-destination demand prediction

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An Automated Highway System link layer controller for traffic flow stabilization

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