A control theoretic formulation of green driving strategies based on inter-vehicle
|
|
- Ashlee Beasley
- 7 years ago
- Views:
Transcription
1 A control theoretic formulation of green driving strategies based on inter-vehicle communications HaoYang and WenlongJin University of California, Irvine July, 2014 USTC 1
2 Outline Research overview Introduction Control system description Simple green driving strategies Distributed cooperative green driving strategy Smartphone implementation and field test Conclusion July, 2014 USTC 2
3 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Research overview July, 2014 USTC 3
4 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix A control system view Desired performance Control, Management, Planning, Design,... Transportation systems Safety Time Costs Emissions Land use Detection, Estimation, Communication July, 2014 USTC 4
5 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Bottleneck modeling July, 2014 USTC 5
6 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Network traffic dynamics July, 2014 USTC 6
7 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Stability of network traffic flow July, 2014 USTC 7
8 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Inter-vehicle communication system July, 2014 USTC 8
9 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Smartphone-based v2b communication July, 2014 USTC 9
10 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Crowdsourcedpothole detection Pothole July, 2014 USTC 10
11 Collaborative green driving July, 2014 USTC 11
12 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Introduction: Green driving July, 2014 USTC 12
13 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Environmental impacts of driving Green house gas emissions in 2004 (IPCC) 1/3 by transportation sector 80% by passenger cars and freight trucks Driving behaviors speed acceleration route departure time July, 2014 USTC 13
14 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Stop-and-go traffic July, 2014 USTC 14
15 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Green driving strategies Segment speed control speed bumps (Pau and Angius, 2001) police enforcement (Vaa,1997) changeable message signs (Oh and Oh, 2005) variable speed limits (Papageorgiou et al., 2008) Intelligent speed adaptation (Carstenand Tate, 2005) manually driven aggregate information Heuristic Personal experience July, 2014 USTC 15
16 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Inter-vehicle communication Dedicated short range communications (DSRC) communication connectivity, throughput hardware, software simulation Transportation applications safety mobility environmental July, 2014 USTC 16
17 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Control system description July, 2014 USTC 17
18 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Newell s car-following model July, 2014 USTC 18
19 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Speed profile Performance measures average speed standard deviation Emissions and fuel consumption Comprehensive Modal Emissions Model (CMEM) (Barth et al., 2001) Vehicle type 8: normal emitter levels and low power/weight ratios and mileages greater than 50,000 miles July, 2014 USTC 19
20 Overview Introduction System Simple GD Advanced GD Field test Conclusion Appendix Feedback control system July, 2014 USTC 20
21 Block diagram for one vehicle IVC ASL Location, speed, acceleration, emissions Radar GPS July, 2014 USTC 21
22 Simple GD strategies July, 2014 USTC 22
23 Constant, independent strategy =0 >0 <0 July, 2014 USTC 23
24 Three cooperative strategies July, 2014 USTC 24
25 Distributed cooperative GD strategy July, 2014 USTC 25
26 Four design rules Maintain car-following Same average speed/travel time Smoother speed profiles Reduced emissions and fuel consumption Effective independently Cooperation More connected vehicles, better effects Limited communication July, 2014 USTC 26
27 Feedback control system July, 2014 USTC 27
28 Four steps July, 2014 USTC 28
29 Independent strategy: congested traffic July, 2014 USTC 29
30 Impacts of market penetration rate July, 2014 USTC 30
31 Impacts of communication delay July, 2014 USTC 31
32 Field test July, 2014 USTC 32
33 Smartphone based implementation Why smartphone? Integrated GPS and other sensors 3G/4G network High market penetration rate Characteristics GPS accuracy Communication delay July, 2014 USTC 33
34 V2V communication July, 2014 USTC 34
35 Results July, 2014 USTC 35
36 Emissions and fuel consumption July, 2014 USTC 36
37 Conclusion July, 2014 USTC 37
38 Summary July, 2014 USTC 38
39 Future directions Other traffic systems multi-lane roads: lane-changing, merging, diverging arterial roads Other control algorithms Model predictive control Information management, sharing, retrieving relevance check Interplay with DSRC communication connectivity, throughput July, 2014 USTC 39
40 Questions? July, 2014 USTC 40
41 Appendix July, 2014 USTC 41
42 Simple stop-and-go traffic model July, 2014 USTC 42
43 Average speed vs standard deviation July, 2014 USTC 43
44 July, 2014 USTC 44
45 Constant independent, open-loop no feedback, not robust Simple cooperation closed-loop Control perspective either no spatial average or no car-following Distributed cooperative closed-loop temporal average target: periodic car-following spatial average through IVC July, 2014 USTC 45
Load Balancing Using a Co-Simulation/Optimization/Control Approach. Petros Ioannou
Stopping Criteria Freight Transportation Network Network Data Network Simulation Models Network states Optimization: Minimum cost Route Load Balancing Using a Co-Simulation/Optimization/Control Approach
More informationSeptember 8th 8:30 AM 10:00 AM PL1: Reinventing Policy to Support the New ITS
September 8th 8:30 AM 10:00 AM PL1: Reinventing Policy to Support the New ITS September 8th 10:30 AM 12:00 PM AM01: Sustainable Transportation Performance Measures: Best Practices September 8th 10:30 AM
More informationSU R F A C E T R A N S P O R T A T I O N I N T H E U N I T E D S T A T E S I S A
TRAFFIC CONGESTION AND GREENHOUSE GA SES B Y M AT T H E W B A R T H A N D K A N O K B O R I B O O N S O M S I N SU R F A C E T R A N S P O R T A T I O N I N T H E U N I T E D S T A T E S I S A LARGE source
More informationSplit Lane Traffic Reporting at Junctions
Split Lane Traffic Reporting at Junctions White paper 1 Executive summary Split Lane Traffic Reporting at Junctions (SLT) from HERE is a major innovation in real time traffic reporting. The advanced algorithm
More informationIntegrated Data System Structure for Active Traffic Management - Planning and Operation
Integrated Data System Structure for Active Traffic Management - Planning and Operation NATMEC 2010 Dr. Xiao-Yun Lu, Research Engineer California PATH, U. C. Berkeley J. Palen, Caltrans DRI 1 Outlines
More informationAppendix E Transportation System and Demand Management Programs, and Emerging Technologies
Appendix E Transportation System and Demand Management Programs, and Emerging Technologies Appendix Contents Transportation System Management Program Transportation Demand Management Program Regional Parking
More informationProject Overview. Focus: Go to Market. Samuel Ginn College of Engineering 2
Driver Assistive Truck Platooning (DATP): Evaluation, Testing, and Stakeholder Engagement for Near Term Deployment GPS and Vehicle Dynamics Lab Auburn University Project Overview FHWA Exploratory Advanced
More informationINTERNET FOR VANET NETWORK COMMUNICATIONS -FLEETNET-
ABSTRACT INTERNET FOR VANET NETWORK COMMUNICATIONS -FLEETNET- Bahidja Boukenadil¹ ¹Department Of Telecommunication, Tlemcen University, Tlemcen,Algeria Now in the world, the exchange of information between
More informationFCD in the real world system capabilities and applications
19th ITS World Congress, Vienna, Austria, 22/26 October 2012 EU-00040 FCD in the real world system capabilities and applications Anita Graser 1*, Melitta Dragaschnig 1, Wolfgang Ponweiser 1, Hannes Koller
More informationITS and IntelliDrive SM for the Environment: Cars and Trucks
ITS and IntelliDrive SM for the Environment: Cars and Trucks Bob Ferlis Technical Director for Operations R&D Federal Highway Administration, Office of Operations R&D US Department of Transportation IntelliDrive
More informationGo with the flow: Transportation information management solutions from IBM.
IBM Government Industry Solution Brief Smarter Transportation Go with the flow: Transportation information management solutions from IBM. Highlights: Extend the life of your transportation assets, optimize
More informationOracle Smart City Platform Managing Mobility
Oracle Smart Platform Managing Mobility iemke idsingh Public Sector Solutions Director Sustainable Trending Topics #QualityOfLife Providing instruments that monitor, analyze and improve the residents quality
More informationArneKesting. Publication List. Journal Articles as First Author { A. Kesting, M. Treiber, D. Helbing: Enhanced Intelligent Driver Model to Access the
ArneKesting Publication List Journal Articles as First Author { A. Kesting, M. Treiber, D. Helbing: Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity Philosophical
More informationCHAPTER 3 AVI TRAVEL TIME DATA COLLECTION
CHAPTER 3 AVI TRAVEL TIME DATA COLLECTION 3.1 - Introduction Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several
More informationUsing Fuzzy Logic Control to Provide Intelligent Traffic Management Service for High-Speed Networks ABSTRACT:
Using Fuzzy Logic Control to Provide Intelligent Traffic Management Service for High-Speed Networks ABSTRACT: In view of the fast-growing Internet traffic, this paper propose a distributed traffic management
More informationThe Telematics Application Innovation Based On the Big Data. China Telecom Transportation ICT Application Base(Shanghai)
The Telematics Application Innovation Based On the Big Data China Telecom Transportation ICT Application Base(Shanghai) Big Data be the basis for Telematics Innovation Providing service s based on the
More informationNationwide Fixed Guideway
1. CONCEPT SUMMARY Solar Transportation Technologies is developing a completely new mass transit system, utilizing privately owned electric cars on an elevated fixed guideway, called Freedom Transit (FT).
More informationJordan customs Electronic Transit Monitoring and Facilitation System (Jordan model)
Jordan customs Electronic Transit Monitoring and Facilitation System (Jordan model) Supply chain Security and Facilitations measures taken by Jordan customs To ensure its move towards effective and efficient
More informationURBAN MOBILITY IN CLEAN, GREEN CITIES
URBAN MOBILITY IN CLEAN, GREEN CITIES C. G. Cassandras Division of Systems Engineering and Dept. of Electrical and Computer Engineering and Center for Information and Systems Engineering Boston University
More informationManaging Infrastructure Network Performance for Increased Sustainability using Dynamic Life Cycle Assessment Models
Managing Infrastructure Network Performance for Increased Sustainability using Dynamic Life Cycle Assessment Models Michael D. Lepech Stanford University PEER Workshop on Transportation Networks M. Lepech
More informationPOLARIS: Planning and Operations Language for Agentbased Regional Integrated Simulation
POLARIS: Planning and Operations Language for Agentbased Regional Integrated Simulation Dr. Kuilin Zhang klzhang@mtu.edu Department of Civil and Environmental Engineering Michigan Technological University
More informationImproving Fuel economy and CO 2 Through The Application of V2I and V2V Communications
Ricardo 1 Improving Fuel economy and CO 2 Through The Application of V2I and V2V Communications Making Connected Vehicles Happen Karina Morley August 4, 2009 2 Background and Market Drivers There Are Three
More information22 nd ITS World Congress Towards Intelligent Mobility Better Use of Space. GPS 2: Big Data The Real Value of Your Social Media Accounts
22 nd ITS World Congress Towards Intelligent Mobility Better Use of Space GPS 2: Big Data The Real Value of Your Social Media Accounts October 7, 2015 Kenneth Leonard Director, Intelligent Transportation
More informationDRAFT Freight Performance Measures
DRAFT Freight Performance Measures The purpose of the Industrial Areas Freight Access Project is to conduct a focused and pragmatic technical evaluation to identify and assess current and future freight
More informationCommon platform for automated trucks and construction equipment
Common platform for automated trucks and construction equipment Erik Nordin, Advanced Technology and Research Common platform for automated trucks and construction equipment What basic principles should
More informationUrban Mobility: The Future is Now Nick Cohn
Urban Mobility: The Future is Now Nick Cohn Road vehicle traffic is the largest source of GHG in many countries Drivers lose several workdays per year in equivalent travel time delays due to traffic One
More informationBig Data in Transportation Engineering
Big Data in Transportation Engineering Nii Attoh-Okine Professor Department of Civil and Environmental Engineering University of Delaware, Newark, DE, USA Email: okine@udel.edu IEEE Workshop on Large Data
More informationTRANSPORTATION AND SUSTAINABILITY-THE TRIPLE BOTTOM LINE
TRANSPORTATION AND SUSTAINABILITY-THE TRIPLE BOTTOM LINE A sustainable transportation system does the following: Allows the basic access needs of individuals and societies to be met safely and in a manner
More informationClimate Change and Air Pollution in the Transport Sector: Measures and Messages of Japan
Climate Change and Air Pollution in the Transport Sector: Measures and Messages of Japan Ministry of Land, Infrastructure, Transport and Tourism Government of Japan January 15, 2009 Ministry of Land, Infrastructure,
More informationHybrid System for Driver Assistance
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, Number 15 (2014), pp. 1583-1587 International Research Publications House http://www. irphouse.com Hybrid System
More informationAcquisition of Novero. Investor presentation 18th December 2015
Acquisition of Novero Investor presentation 18th December 2015 What Novero brings to Laird The acquisition of Novero and LSR rebalances our business, Wireless Systems will now be of a similar scale to
More informationCarbon emissions. A practical guide for fleet operators and drivers. Photography by Bob McCaffrey on Flickr
Carbon emissions A practical guide for fleet operators and drivers Photography by Bob McCaffrey on Flickr Road haulage carbon emissions With the Government highly-focused on reducing the UK s carbon emission
More informationTechnical Trends of Driver Assistance/ Automated Driving
Technical Trends of Driver Assistance/ Automated Driving Presented by Tjark Kreuzinger Senior Manager, Safety research and Technical Affairs Toyota Motor Europe NV/SV TOYOTA MOTOR CORPORATION Topics 1.
More informationPublic Sector Solutions
Public Sector Solutions The New Jersey DOT Command Center uses INRIX real-time data and analytics to monitor congestion and deploy resources proactively to manage traffic flow and inform travelers. INRIX
More informationPlanning and Design for Sustainable Urban Mobility
1 Planning and Design for Sustainable Urban Mobility 2 1 UrbanizationUrbanization Rapid pace, largely uncontrolled growth, taking place mainly in developing countries 3 Global Urbanization Trends World
More informationUniversity of California Transportation Center UCTC-FR-2010-11. Real-World Carbon Dioxide Impacts of Traffic Congestion
University of California Transportation Center UCTC-FR-21-11 Real-World Carbon Dioxide Impacts of Traffic Congestion Matthew Barth and Kanok Boriboonsomsin University of California, Riverside May 21 Real-World
More information29082012_WF_reporting_bro_UK. www.tomtom.com/telematics
29082012_WF_reporting_bro_UK www.tomtom.com/telematics T E L E M AT I C S WEBFLEET Reporting Let s drive business WEBFLEET Reporting Difficult business decisions are much more straightforward with TomTom
More informationEricsson Intelligent Traffic Management Solutions. Presented by Renato Filjar, Ericsson Nikola Tesla, Zagreb, Croatia
Ericsson Intelligent Traffic Management Solutions Presented by Renato Filjar, Ericsson Nikola Tesla, Zagreb, Croatia Challenges of modern transport can only be solved by intelligent systems that integrates
More informationSUSTAINABILITY TOOLKIT FOR SIMULATION-BASED LOGISTICS DECISIONS. Michael E. Kuhl Xi Zhou
Proceedings of the 2009 Winter Simulation Conference M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin and R. G. Ingalls, eds. SUSTAINABILITY TOOLKIT FOR SIMULATION-BASED LOGISTICS DECISIONS Michael
More informationMicroscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control
Doctoral Thesis Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control Dipl.-Phys. Arne Kesting Faculty of Traffic Sciences Friedrich List Technische Universität Dresden
More information3/21/2014. Designing a Commercial UBI Program. Disclaimer
Designing a Commercial UBI Program CAS Ratemaking and Product Management Seminar, March 31, 2014 Erin Bellott, FCAS, MAAA Disclaimer The views expressed in this presentation are solely those of the author
More informationAutomated Trucks. The next big disruptor in the automotive industry? Roland Berger study
Short version To receive the complete study please contact our US marketing department at linda.saliba@rolandberger.com Automated Trucks The next big disruptor in the automotive industry? Roland Berger
More informationData Mining in Vehicular Sensor Networks: Technical and Marketing Challenges
Data Mining in Vehicular Sensor Networks: Technical and Marketing Challenges Hillol Kargupta Agnik & University of Maryland, Baltimore County http://www.cs.umbc.edu/~hillol http://www.agnik.com Roadmap
More informationImplementation of traffic effect estimations. for intermodal dynamic routing services on VIELMOBIL - an. ITS-platform for the RheinMain region
Implementation of traffic effect estimations for intermodal dynamic routing services on VIELMOBIL - an ITS-platform for the RheinMain region Rüdiger BERNHARD, Enrico STEIGER, Stefan KRAMPE, Stefan KOLLARITS,
More informationQuestions and Answers
Fuel Economy Testing and Labeling 1. Why should I trust EPA s fuel economy values? The MPG estimates on the EPA/DOT Fuel Economy and Environment Label (or window sticker) are based on standardized laboratory
More informationPerformance Measurement for the better utilisation of New Zealand s existing Transport Network
Performance Measurement for the better utilisation of New Zealand s existing Presented by: Matt Ensor General Manager, Beca Transportation BE Civil (Hons), Cert Arts (Social Science), PG Dip Bus Admin
More informationInformation on the move
Information on the move about OPTIMUM Multi-source Big Data Fusion Driven Proactivity for Intelligent Mobility, or OPTIMUM, is an EU-funded project that looks beyond state-of-the-art IT solutions to improve
More informationESTIMATION OF FREE-FLOW SPEEDS FOR MULTILANE RURAL AND SUBURBAN HIGHWAYS
ESTIMATION OF FREE-FLOW SPEEDS FOR MULTILANE RURAL AND SUBURBAN HIGHWAYS Pin-Yi TSENG Professor Department of Traffic Science Central Police University 56, Shu Jen Road, Kwei Shan, Taoyuan, 33334, Taiwan
More informationTailoring transport choices
Tailoring transport choices ACCELERATE, 2014 Dr Savvas Verdis, Infrastructure Economist Answers for infrastructure and cities. cities have different demand characteristics Page 2 Page 3 Page 4 Page 5 culture
More informationAcknowledgments. Luis Martínez
INNOVATIVE TRANSPORT SERVICES FOR HIGH QUALITY MOBILITY IN SUSTAINABLE CITIES Acknowledgments Luis Martínez MIT Portugal SCUSSE Project (Smart Combination of passenger transport modes and services in Urban
More informationINVESTIGATION OF ASIM 29X, CANOGA, RTMS, SAS-1, SMARTSENSOR, TIRTL & OTHER SENSORS FOR AUTOMATIC VEHICLE CLASSIFICATION
INVESTIGATION OF ASIM 29X, CANOGA, RTMS, SAS-1, SMARTSENSOR, TIRTL & OTHER SENSORS FOR AUTOMATIC VEHICLE CLASSIFICATION RESEARCH NEED This research will add to the national and local state-of-the-art on
More information7.0 Transportation Management
7.0 Transportation Management I. Introduction The Kansas City region has invested considerable effort and resources in the design and implementation of its regional multimodal transportation system. As
More informationGATEWAY CITIES TECHNOLOGY PROGRAM FOR GOODS MOVEMENT OVERVIEW OF EMERGING CONNECTED COMMERCIAL VEHICLES PROGRAM
GATEWAY CITIES TECHNOLOGY PROGRAM FOR GOODS MOVEMENT OVERVIEW OF EMERGING CONNECTED COMMERCIAL VEHICLES PROGRAM Presented May 8, 2014 GATEWAY CITIES LOGISTICS CORRIDOR Anchored by Ports of Long Beach and
More informationIntegrated Fleet Management Solutions
Integrated Fleet Management Solutions Taking Efficiency and Compliance to the Next Level Jason Riggs Sr. Product Manager, Qualcomm About Qualcomm: Delivering Business Insight for More Than 20 Years Improve
More informationBig Data for Transportation: Measuring and Monitoring Travel
1 Big Data for Transportation: Measuring and Monitoring Travel Frank Franczyk, MSc. P.Eng., Benoit Coupal, MSc. Persen Technologies Incorporated (PERSENTECH) Introduction Relevant and reliable transportation
More informationUSE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS
USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS David P. Racca Center for Applied Demography and Survey Research (CADSR) University of Delaware Graham Hall, Rm 284, Newark, Delaware 19716
More informationSmart Transport ITS Norway
www.steria.com Smart Transport ITS Norway Intelligent Transport Systems for all users Pierre Basquin Steria Steria Delivering IT and business process outsourcing services We provide a full range of IT
More informationOperations Planning & Optimization. Dr. Victor Allis, Co-founder and CEO
Operations Planning & Optimization Dr. Victor Allis, Co-founder and CEO QUINTIQ Solving puzzles s i n c e 1997 QUINTIQ FOUNDING VISION Solving the world s planning puzzles 3DS.COM Dassault Systèmes Confidential
More informationTestimony of Ann Wilson House Energy & Commerce Committee Subcommittee on Commerce, Manufacturing and Trade, October 21, 2015
House Energy & Commerce Committee Subcommittee on Commerce, Manufacturing and Trade, October 21, 2015 Introduction Chairman Burgess, Ranking Member Schakowsky, members of the subcommittee: Thank you for
More informationStar rating driver traffic and safety behaviour through OBD and smartphone data collection
International Symposium on Road Safety Behaviour Measurements and Indicators Belgian Road Safety Institute 23 April 2015, Brussels Star rating driver traffic and safety behaviour through OBD and smartphone
More informationEmission Facts. The amount of pollution that a vehicle emits and the rate at which
Average Annual Emissions and Fuel for Gasoline-Fueled Passenger Cars and Light Trucks The amount of pollution that a vehicle emits and the rate at which it consumes fuel are dependent on many factors.
More informationTransportation Research Board 2015 Summer Midyear Meeting - Freight Systems and Marine Groups Paul Bingham, Economic Development Research Group
Transportation Research Board 2015 Summer Midyear Meeting - Freight Systems and Marine Groups Paul Bingham, Economic Development Research Group Washington, DC June 25, 2015 Activities enhanced or newly
More informationJoint Crediting Mechanism (JCM) Feasibility Study in Surabaya, Indonesia P ROGRESS R EPORT T RANSPORT S ECTOR
Joint Crediting Mechanism (JCM) Feasibility Study in Surabaya, Indonesia P ROGRESS R EPORT T RANSPORT S ECTOR ALMEC CORPORATION 1. Survey Activity To assess potential environmental improvement and possible
More informationChannels of Delivery of Travel Information (Static and Dynamic On-Trip Information)
Channels of Delivery of Travel Information (Static and Dynamic On-Trip Information) Index Purpose Description Relevance for Large Scale Events Options Technologies Impacts Integration potential Implementation
More informationThe Role of Big Data and Analytics in the Move Toward Scientific Transportation Engineering
The Role of Big Data and Analytics in the Move Toward Scientific Transportation Engineering Bob McQueen CEO The 0cash Company Orlando, Florida bobmcqueen@0cash.com Topics Introduction Smart cities What
More informationINTELLIGENT DETECTION SYSTEMS
INTELLIGENT DETECTION SYSTEMS WORLD-CLASS PERFORMANCE THROUGH ENGINEERING EXCELLENCE With over 20 years experience, AGD Systems provides advanced radar detection technologies for Intelligent Transportation
More informationIntelligent Transportation Solutions for Sustainable City Logistics: Issues and Prospects
TRANSPORTATION CENTER NORTHWESTERN UNIVERSITY Intelligent Transportation Solutions for Sustainable City Logistics: Issues and Prospects Hani S. Mahmassani LOGISTICS part of the supply chain process that
More informationETC-based ITS Applications.
ETC-based ITS Applications. Implementing value-adding ITS applications on basis of Kapsch ETC systems. UNECE Meeting Ankara; March 2012 Insert photo: 9.64 mm high x 25.4 mm wide 02.12.2009 Titel der Präsentation
More informationAhead of the Curve with Intelligent. Transportation
Ahead of the Curve with Intelligent Transportation Advanced technologies to ensure the safe, efficient, and secure movement of passengers and freight. Intelligent transportation is changing the way America
More informationProducts and comprehensive solutions. NIS-M2M Group
Products and comprehensive solutions NIS-M2M Group NIS-M2M Group products and comprehensive solutions NIS-M2M Group Navigation information market leader 3 Products: Software 4 TELEMATICS PLATFORMS Specialized
More informationBlipTrack. Case Studies. ANPR vs. Bluetooth. This case describes how data from ANPR cameras match corresponding Bluetooth sensor data.
ANPR vs. Bluetooth This case describes how data from ANPR cameras match corresponding Bluetooth sensor data. The map shows an arterial road in the city of Aalborg with a total of 4 lanes, 2 in each direction.
More informationReducing Environmental Footprint based on Multi-Modal Fleet Management Systems for Eco-Routing and Driver Behavior Adaptation
Reducing Environmental Footprint based on Multi-Modal Fleet Management Systems for Eco-Routing and Driver Behavior Adaptation Josif Grabocka Umer Khan Lars Schmidt-Thieme Information Systems and Machine
More informationImproving Driving Safety Through Automation
Improving Driving Safety Through Automation Congressional Robotics Caucus John Maddox National Highway Traffic Safety Administration July 25, 2012 NHTSA s Missions Safety Save lives, prevent injuries and
More informationModels for Train Scheduling. Krishna C. Jha Vice President - Research & Development krishna@innovativescheduling.com
Models for Train Scheduling Krishna C. Jha Vice President - Research & Development krishna@innovativescheduling.com Innovative Scheduling Overview Optimization and simulation solutions for transportation,
More informationPolicy Development for Big Data at the ITS JPO
Policy Development for Big Data at the ITS JPO June 17, 2015 Dale Thompson Office of the Secretary of Transportation Research and Technology Intelligent Transportation Systems Joint Program Office Agenda
More information2013 WAN Management Spectrum. October 2013
2013 WAN Management Spectrum October 2013 Market Context... 2 Executive Summary... 3 By the Numbers... 5 Research Background... 6 WAN Management... 8 Business Impact... 9 Submarkets... 10 Deployment...
More informationTitle: Integrating Management of Truck and Rail Systems in LA. INTERIM REPORT August 2015
Title: Integrating Management of Truck and Rail Systems in LA Project Number: 3.1a Year: 2013-2017 INTERIM REPORT August 2015 Principal Investigator Maged Dessouky Researcher Lunce Fu MetroFreight Center
More informationUNIVERSITY OF CALIFORNIA RIVERSIDE. Decentralized Traffic Information System Design Based on Inter-Vehicle Communication
UNIVERSITY OF CALIFORNIA RIVERSIDE Decentralized Traffic Information System Design Based on Inter-Vehicle Communication A Dissertation submitted in partial satisfaction of the requirements for the degree
More informationLEGISLATIVE COUNCIL BRIEF ELECTRONIC ROAD PRICING
TBCR 2/1/2061/89 Pt 16 LEGISLATIVE COUNCIL BRIEF ELECTRONIC ROAD PRICING INTRODUCTION At the meeting of the Executive Council on 24 April 2001, the Council ADVISED and the Chief Executive ORDERED that
More informationPROJECT PROGRESS PERIODIC & MANAGEMENT REPORT
PROJECT PROGRESS PERIODIC & MANAGEMENT REPORT Grant Agreement number: 288094 Project acronym: ecompass Project title: eco-friendly urban Multi-modal route PlAnning Services for mobile users Funding Scheme:
More informationAN EMPIRICAL STUDY OF INTER-VEHICLE COMMUNICATION PERFORMANCE USING NS-2
AN EMPIRICAL STUDY OF INTER-VEHICLE COMMUNICATION PERFORMANCE USING NS-2 Jaeyoung Jung Ph.D. Candidate Institute of Transportation Studies Department of Civil and Environmental Engineering University of
More informationWESTAC 2015 Fall Member Forum Paul Bingham, Economic Development Research Group. Calgary, Alberta November 10, 2015
WESTAC 2015 Fall Member Forum Paul Bingham, Economic Development Research Group Calgary, Alberta November 10, 2015 Operations and planning for the freight transport system is fragmented reflecting the
More informationWhy infrastructure is so important
Maersk in Brazil Brazil is a key growth market for Maersk. We share a common interest with Brazil in promoting economic development, national competitiveness and prosperity for Brazil s population. Since
More informationAuthor: Hamid A.E. Al-Jameel (Research Institute: Engineering Research Centre)
SPARC 2010 Evaluation of Car-following Models Using Field Data Author: Hamid A.E. Al-Jameel (Research Institute: Engineering Research Centre) Abstract Traffic congestion problems have been recognised as
More informationBlue & Me Fleet. Fleet management has never been so easy. Iveco S.p.A. Via Puglia, 35 10156 Turin - Italy www.iveco.com
Iveco S.p.A. Via Puglia, 35 10156 Turin - Italy www.iveco.com Publication A082512 Printed in Italy September 2008 The information in this publication is provided purely as a guide and is not binding. Blue
More informationSMART TRANSPORTATION
SMART TRANSPORTATION Professor William HK LAM, The Hong Kong Polytechnic University Professor Hong K LO, The Hong Kong University of Science and Technology Professor SC WONG, The University of Hong Kong
More informationFuel Usage and Fuel Consumption Monitoring
Fuel Usage and Fuel Consumption Monitoring 1. Introduction Fuel (Gas) pricing growing and growing and reaching record levels. Yours vehicle fleet (special machinery) require more and more money on fuel
More informationEmerT a web based decision support tool. for Traffic Management
19th ITS World Congress, Vienna, Austria, 22/26 October 2012 EU-00630 EmerT a web based decision support tool for Traffic Management Laura Bieker 1*, Michael Behrisch 1, Sten Ruppe 1 German Aerospace Center
More informationSmartphone Applications for ITS
Smartphone Applications for ITS Index Purpose Description Relevance for Large Scale Events Options Technologies Impacts Integration potential Implementation Best Cases and Examples 1 of 13 Purpose Smartphone
More informationTraffic System for Smart Cities. Empowering Mobility Consulting Solutions Managed Services
Traffic System for Smart Cities Empowering Mobility Consulting Solutions Managed Services About US Leading provider of Toll Collection and Intelligent Transport Management Systems (ITS) More than a decade
More informationLimitations of Packet Measurement
Limitations of Packet Measurement Collect and process less information: Only collect packet headers, not payload Ignore single packets (aggregate) Ignore some packets (sampling) Make collection and processing
More informationCongestion Management Systems: A Federal Perspective. 7 Key CMS Components
Congestion Management Systems: A Federal Perspective Brian Betlyon FHWA Resource Center brian.betlyon@fhwa.dot.gov 7 Key CMS Components 1. Area of Application 2. System Definition (modes & network) 4.
More informationElectric Vehicles and use of ICT s for Last Mile: A European vision. Mr. Arturo Pérez de Lucia, Managing Director, AEDIVE
Mr. Arturo Pérez de Lucia, Managing Director, AEDIVE Who we are. What we do AEDIVE is the Spanish Business Association for the Boosting and Development of the Electric Vehicle Market It is a non-profit
More informationVEHICLE ROUTING PROBLEMS IN CONGESTED URBAN AREAS
VEHICLE ROUTING PROBLEMS IN CONGESTED URBAN AREAS Miguel A. Figliozzi Civil and Environmental Engineering Portland State University figliozzi@pdx.edu 1 Outline The Vehicle Routing Problem (VRP) VRP in
More informationCooperative self-declaring of weight for trucks
22 nd ITS World Congress, Bordeaux, France, 5 9 October 2015 Paper number ITS-1641 Cooperative self-declaring of weight for trucks Ørjan Tveit, Public Roads Administration, Norway orjan.tveit@vegvesen.no
More informationTruck Automation for the Ready Mixed Concrete Industry. Michael J. Hoagland (205) 879-3282 ext. 1164 mhoagland@commandalkon.com
Truck Automation for the Ready Mixed Concrete Industry Michael J. Hoagland (205) 879-3282 ext. 1164 mhoagland@commandalkon.com Session Agenda What is GPS and How does it work? Auto Signaling Explained
More informationGPS Device Installation and Tracking Solutions GPS LIVE TRACKING FLEET COMPANY RENTAL PERSONAL. www.trackghana.com
GPS Device Installation and Tracking Solutions GPS LIVE TRACKING Locate Anywhere Anytime FLEET COMPANY RENTAL PERSONAL www.trackghana.com COMPANY SUMMARY What We Do Who We Are Track Ghana is a global provider
More informationTowards Safe and Efficient Driving through Vehicle Automation: The Dutch Automated Vehicle Initiative
Towards Safe and Efficient Driving through Vehicle Automation: The Dutch Automated Vehicle Initiative Raymond Hoogendoorn, Bart van Arem, Riender Happee, Manuel Mazo Espinoza and Dimitrios Kotiadis 30
More informationNTT DATA Big Data Reference Architecture Ver. 1.0
NTT DATA Big Data Reference Architecture Ver. 1.0 Big Data Reference Architecture is a joint work of NTT DATA and EVERIS SPAIN, S.L.U. Table of Contents Chap.1 Advance of Big Data Utilization... 2 Chap.2
More information