Research on perception bias of implementation benefits of urban intelligent transportation system based on big data
Authors:
Open Access
- 9 May 2019
- journal article
- research article
- Published by Springer Nature in EURASIP Journal on Wireless Communications and Networking
- Vol. 2019 (1) , 1-7
Abstract
No abstract availableKeywords
Funding Information
- Scientific Research Project Foundation of Chongqing University of Education (KY2018TZ01)
This publication has 9 references indexed in Scilit:
- Fine-grained vehicle emission management using intelligent transportation system dataEnvironmental Pollution, 2018
- Is traffic congestion overrated? Examining the highly variable effects of congestion on travel and accessibilityJournal of Transport Geography, 2017
- An Extensive Review on Data Mining Methods and Clustering Models for Intelligent Transportation SystemJournal of Intelligent Systems, 2017
- The variation in the value of travel-time savings and the dilemma of high-speed rail in ChinaTransportation Research Part A: Policy and Practice, 2015
- Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expresswaysTransportation Research Part C: Emerging Technologies, 2015
- Future role of cost–benefit analysis in intelligent transport system‐researchIET Intelligent Transport Systems, 2015
- Evaluation on Traffic Congestion Mitigation in Beijing with Variable Message SignsJournal of Transportation Systems Engineering and Information Technology, 2014
- Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical FlowsPLOS ONE, 2011
- Applying Benefit/Cost Analysis To Identify and Measure the Benefits of Intelligent Transportation SystemsTransportation Research Record: Journal of the Transportation Research Board, 1998