Analysis and Modeling of Cape May County Roadway Elevations and Evacuation Routes
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Dynamic Lane Reversal in Traffic Management
To appear in Proceedings of the 14th IEEE ITS Conference (ITSC 2011), Washington DC, USA, October 2011. Dynamic Lane Reversal in Traffic Management Matthew Hausknecht, Tsz-Chiu Au, Peter Stone David Fajardo, Travis Waller Department of Computer Science School of Civil and Environmental Engineering University of Texas at Austin University of New South Wales {mhauskn,chiu,pstone}@cs.utexas.edu {davidfajardo2,s.travis.waller}@gmail.com Abstract— Contraflow lane reversal—the reversal of lanes in order to temporarily increase the capacity of congested roads— can effectively mitigate traffic congestion during rush hour and emergency evacuation. However, contraflow lane reversal deployed in several cities are designed for specific traffic patterns at specific hours, and do not adapt to fluctuations in actual traffic. Motivated by recent advances in autonomous Fig. 1. An illustration of contraflow lane reversal (cars are driving on vehicle technology, we propose a framework for dynamic lane the right side of the road). The total capacity of the road is increased by reversal in which the lane directionality is updated quickly and approximately 50% by reversing the directionality of a middle lane. automatically in response to instantaneous traffic conditions recorded by traffic sensors. We analyze the conditions under systems, more aggressive contraflow lane reversal strategies which dynamic lane reversal is effective and propose an integer can be implemented to improve traffic flow of a city without linear programming formulation and a bi-level programming increasing the amount of land dedicated to transportation. formulation to compute the optimal lane reversal configuration An important component of implementing dynamic lane that maximizes the traffic flow. -
Phase 1 Study
DELAWARE RIVER JOINT TOLL BRIDGE COMMISSION SOUTHERLY CROSSINGS CORRIDOR STUDY PHASE I TRANSPORTATION STUDY Prepared for: DELAWARE RIVER JOINT TOLL BRIDGE COMMISSION Prepared by: THE LOUIS BERGER GROUP, INC. EAST ORANGE, NEW JERSEY June 2002 TABLE OF CONTENTS Southerly Crossings Corridor Study TABLE OF CONTENTS Page EXECUTIVE SUMMARY.............................................................Executive Summary Page 1 1.0 INTRODUCTION AND STUDY METHODOLOGY.............................................1-1 1.1 Background.........................................................................................1-1 1.2 Objectives of the Southerly Crossings Corridor Study .....................................1-3 1.3 Traffic Forecasting & Analysis Methodology................................................1-3 1.3.1 Overview.............................................................................................................1-3 1.3.2 Travel Demand Forecasting ................................................................................1-4 1.4 Alternatives Development and Screening .....................................................1-7 1.5 Alternatives Analysis-Measures of Effectiveness .......................................... 1-10 1.5.1 Level of Service...............................................................................................1-10 1.5.2 Construction Cost Estimates............................................................................1-11 2.0 EXISTING CONDITIONS ..............................................................................2-1 -
Cape May County Transportation Study
Cape May County Transportation Study Prepared by: Cape May County Planning Department 4 Moore Road Cape may Court House, New Jersey 08210 www.capemaycountygov.net 2006 Cover: Rendering of Proposed Middle Thorofare Bridge Replacement, Ocean Drive (Co. Rd. 621) Lower Township. Cape May County Transportation Plan 2006 CAPE MAY COUNTY PLANNING BOARD Resolution Number 03-06 ADOPTING THE CAPE MAY COUNTY TRANSPORTATION PLAN Whereas, the County of Cape May seeks to provide state-of-the-art transportation facilities for the convenience and safety of its residents and visitors; and Whereas, it is necessary to provide a Transportation Plan to meet the current and future transportation needs of the County and to satisfy Federal and State planning requirements; and Whereas, Cape May County has prepared said plan addressing these issues and wishes to adopt this plan as the Transportation Element of the Cape May County Comprehensive Plan; and Whereas, prior to the adoption of any component or amendment of a County Comprehensive Plan a public hearing must be held in accordance with NJSA 40:27-4; and Whereas, on September 19, 2006 the Cape May County Planning Board held such a public hearing and listened to and addressed the concerns of the public regarding the plan. Now Therefore Be It Resolved by the Cape May County Planning Board that the Cape May County Transportation Plan is hereby adopted as the Transportation Element of the Cape May County Comprehensive Plan; and Now Therefore Be It Further Resolved, that in accordance with the provisions of NJSA 40:27-4, attested copies of this plan shall be certified to the Cape May County Board of Chosen Freeholders, the Cape May County Park Commission, and the Municipal Clerks of all municipalities in the County. -
Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications
Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management by Mohsen Hajsalehi Sichani A thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science. Victoria University of Wellington 2020 Abstract A comprehensive traffic monitoring system can assist authorities in identifying parts of a road transportation network that exhibit poor performance. In addition to monitoring, it is essential to develop a localized and efficient analytical trans- portation model that reflects various network scenarios and conditions. A compre- hensive transportation model must consider various components such as vehicles and their different mechanical characteristics, human and their diverse behaviours, urban layouts and structures, and communication and transportation infrastructure and their limitations. Development of such a system requires a bringing together of ideas, tools, and techniques from multiple overlapping disciplines such as traf- fic and computer engineers, statistics, urban planning, and behavioural modelling. In addition to modelling of the urban traffic for a typical day, development of a large-scale emergency evacuation modelling is a critical task for an urban area as this assists traffic operation teams and local authorities to identify the limitations of traffic infrastructure during an evacuation process through examining various parameters such as evacuation time. In an evacuation, there may be severe and unpredictable damage to the infrastructure of a city such as the loss of power, telecommunications and transportation links. Traffic modelling of a large-scale evacuation is more challenging than modelling the traffic for a typical day as his- torical data is usually available for typical days, whereas each disaster and evacua- tion are typically one-off or rare events. -
Human Factors for Connected Vehicles Transit Bus Research DISCLAIMER
DOT HS 812 652 May 2019 Human Factors for Connected Vehicles Transit Bus Research DISCLAIMER This publication is distributed by the U.S. Department of Transportation, National Highway Traffic Safety Administration, in the interest of information exchange. The opinions, findings and conclusions expressed in this publication are those of the authors and not necessarily those of the Department of Transportation or the National Highway Traffic Safety Administration. The United States Government assumes no liability for its contents or use thereof. If trade or manufacturers’ names are mentioned, it is only because they are considered essential to the object of the publication and should not be construed as an endorsement. The United States Government does not endorse products or manufacturers. Suggested APA Format Citation: Graving, J. L.; Bacon-Abdelmoteleb, P.; & Campbell, J. L. (2019, May). Human factors for connected vehicles transit bus research (Report No. DOT HS 812 652). Washington, DC: National Highway Traffic Safety Administration. Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. DOT HS 812 652 4. Title and Subtitle 5. Report Date Human Factors for Connected Vehicles Transit Bus Research May 2019 6. Performing Organization Code 7. Authors 8. Performing Organization Report No. Graving, Justin L; Bacon-Abdelmoteleb, Paige; Campbell, John L.; Battelle 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Battelle Seattle Research Center 11. Contract or Grant No. 1100 Dexter Avenue North, Suite 400 DTNH22-11-D-00236, Task Order Seattle, WA 98109 18, Subaward 451329-19615 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered National Highway Traffic Safety Administration Final Report Office of Behavioral Safety Research 1200 New Jersey Avenue SE. -
Transportation Emergency Preparedness Plan for the Nashua Region
Transportation Emergency Preparedness Plan for the Nashua Region September 2010 Prepared by: Nashua Regional Planning Commission Transportation Emergency Preparedness Plan for the Nashua Region September 2010 TABLE OF CONTENTS 1.0 INTRODUCTION...................................................................................................................................................1 A. OVERVIEW OF TRANSPORTATION PLANNING AND EMERGENCY PREPAREDNESS ...................................................1 B. THE ROLE OF THE METROPOLITAN PLANNING ORGANIZATION..............................................................................2 C. ADVISORY PANEL DISCUSSION................................................................................................................................3 2.0 LITERATURE REVIEW (SECTION 1) ...................................................................................................................5 A. NATIONAL INCIDENT MANAGEMENT SYSTEM (NIMS) (DECEMBER 2008).............................................................5 i. Components of the NIMS: .............................................................................................................................5 B. STATE OF NEW HAMPSHIRE EMERGENCY OPERATIONS PLAN (MARCH 2005) .....................................................6 C. MUNICIPAL HAZARD MITIGATION PLANS (DATES VARY BY MUNICIPALITY)..............................................................8 D. NORTHERN MIDDLESEX PRE-DISASTER MITIGATION PLAN (JULY 2006) ................................................................8 -
Hurricane Evacuation Guidelines (PDF)
Hurricane Evacuation Guidelines Prepare to evacuate if told to do so by elected officials. This may come through radio, television and social media. Plan to evacuate as early as possible – before gale force winds and storm surge forces road closings. Leaving early may also help you to avoid massive traffic jams encountered late in an evacuation effort. Listen to radio/television for evacuation and sheltering information. Remember, there are no shelters in St. Bernard Parish. Storm advisories are issued as followed: Tropical Storm Watch An announcement that sustained winds of 39 to 73 mph are possible within the specified area within 48 hours in association with a tropical, subtropical, or post-tropical cyclone. Tropical Storm Warning An announcement that sustained winds of 39 to 73 mph are expected somewhere within the specified area within 36 hours in association with a tropical, subtropical, or post- tropical cyclone Hurricane Watch A Hurricane Watch is issued when a tropical cyclone containing winds of 64 kt (74 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that hurricane conditions will occur. It only means that these conditions are possible. Hurricane Warning A Hurricane Warning is issued when sustained winds of 64 kt (74 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. A hurricane warning can remain in effect when dangerously high water or a combination of dangerously high water and exceptionally high waves continue, even though winds may be less than hurricane force. -
Analysis and Modeling of Cape May County Roadway Elevations and Evacuation Routes NJDOT Research Report No: FHWA-NJ-2005-022
“TURNING PROBLEMS INTO SOLUTIONS” ANALYSIS AND MODELING OF CAPE MAY Need a solution? COUNTY ROADWAY ELEVATIONS AND Think Jersey DOT EVACUATION ROUTES FHWA-NJ-2005-022 May 2006 SUMMARY This study determined the evacuation times under varying population, hurricane level, and NJ Routes 47/347 reversal lane operation scenarios for Cape May County, New Jersey. Roadway elevations throughout NJ Routes 47/347 corridor study area were established via a GPS survey to verify whether the roadways are usable in the event of a hurricane. Results of the study show that the current NJ State Police reversal plan is ineffective and needs to be revised as the bottleneck during evacuation would exist south of NJ Route 83, the initiation point of the current reversal plan. INTRODUCTION & BACKGROUND Disaster response, to both manmade and natural catastrophes, in the areas of high population density, is centered on evacuating people quickly and efficiently. Being the most densely populated state in the country, New Jersey faces considerable challenges in effectively coordinating and responding to emergencies. In this project, a microscopic traffic simulation based model was developed to evaluate the effectiveness of the existing State Police “Routes 47/347 Reverse Lane Plan” for Cape May County. This contraflow strategy, also known as lane reversal, was modeled to maximize roadway capacity for the existing network on Routes 47/347. This study determined the evacuation time estimates for various scenarios considering different levels of traffic operations, seasonal area population, hurricane intensity, and behavior response. The behavioral response curves, also called the S-curve models, were applied in this study to approximate behavior responses and to temporally load demand onto the network. -
A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment
TECHNICAL REPORT 0-6859-1 TxDOT PROJECT NUMBER 0-6859 A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment Stephen D. Boyles C. Michael Walton Jennifer Duthie Ehsan Jafari Nan Jiang Alireza Khani Jia Li Jesus Osorio Venktesh Pandey Tarun Rambha Cesar Yahia April 2017; Published September 2018 http://library.ctr.utexas.edu/ctr-publications/0-6859-1.pdf Technical Report Documentation Page 1. Report No. 2. Government 3. Recipient’s Catalog No. FHWA/TX-17/0-6859-1 Accession No. 4. Title and Subtitle 5. Report Date A Planning Tool for Active Traffic Management Combining April 2017; Published September 2018 Microsimulation and Dynamic Traffic Assignment (FHWA 0- 6. Performing Organization Code 6859-1) 7. Author(s) 8. Performing Organization Report No. Stephen D. Boyles, C. Michael Walton, Jennifer Duthie, Ehsan 0-6859-1 Jafari, Nan Jiang, Alireza Khani, Jia Li, Jesus Osorio, Venktesh Pandey, Tarun Rambha, Cesar Yahia 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Transportation Research 11. Contract or Grant No. The University of Texas at Austin 0-6859 1616 Guadalupe Street, Suite 4.202 Austin, TX 78701 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Texas Department of Transportation Technical Report, 9/1/14-4/30/17 Research and Technology Implementation Office 14. Sponsoring Agency Code P.O. Box 5080 Austin, TX 78763-5080 15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. 16. Abstract Active traffic management (ATM) strategies have been considered as a tool for congestion mitigation in the last few decades. -
Central Gloucester County Traffic Study
CENTRAL GLOUCESTER COUNTY TRAFFIC STUDY I!J! DELAWARE VALLEY ~ REGIONAL PLANNING COMMISSION CENTRAL GLOUCESTER COUNTY TRAFFIC STUDY 1993 (REVISED) DELAWARE VALLEY REGIONAL PLANNING COMMISSION - THIS REPORT IS PRINTED ON RECYCLED PAPER- This report, prepared by the Transportation Planning Division of the Delaware Valley Regional Planning Commission, was financed by the Federal Highway Administration of the U. S. Department of Transportation and the New Jersey Department of Transportation. The authors, however, are solely responsible for its findings and conclusions, which may not represent the official views or policies of the funding agency. Created in 1965, the Delaware Valley Regional Planning Commission (DVRPC) is an interstate, intercounty and intercity agency which provides continuing, comprehensive and coordinated planning for the orderly growth and development of the Delaware Valley region. The region includes Bucks, Chester, Delaware, and Montgomery counties as well as the City of Philadelphia in Pennsylvania and Burlington, Camden, Gloucester, and Mercer counties in New Jersey. The Commission is an advisory agency which divides its planning and service functions among the Office of the Executive Director, the Office of Public Affairs, and three line Divisions: Transportation Planning, Regional Information Services Center which includes the Office ofRegional Planning, and Finance and Administration. D VRPC 's mission for the 1990s is to emphasize technical assistance and services and to conduct high priority studies for member state and local governments, while determining and meeting the needs of the private sector. The DVRPC logo is adaptedfrom the official seal of the Commission and is designed as a stylized image of the Delaware Valley. The outer ring symbolizes the region as a whole while the diagonal bar signifies the Delaware River flowing through it. -
Drones for Improving Traffic Safety in Riti Communities in Washington State
DRONES FOR IMPROVING TRAFFIC SAFETY IN RITI COMMUNITIES IN WASHINGTON STATE FINAL PROJECT REPORT by Xuegang (Jeff) Ban, Daniel Abramson, Yiran Zhang University of Washington for Center for Safety Equity in Transportation (CSET) USDOT Tier 1 University Transportation Center University of Alaska Fairbanks ELIF Suite 240, 1764 Tanana Drive Fairbanks, AK 99775-5910 In cooperation with U.S. Department of Transportation, Research and Innovative Technology Administration (RITA) DISCLAIMER The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. This document is disseminated under the sponsorship of the U.S. Department of Transportation’s University Transportation Centers Program, in the interest of information exchange. The Center for Safety Equity in Transportation, the U.S. Government and matching sponsor assume no liability for the contents or use thereof. i TECHNICAL REPORT DOCUMENTATION PAGE 1. Report No. 2. Government Accession No. 3. Recipient’s Catalog No. 4. Title and Subtitle 5. Report Date Drones for Improving Traffic Safety of the RITI Communities in Washington Dec 31,2019 State 6. Performing Organization Code 7. Author(s) and Affiliations 8. Performing Organization Report No. Xuegang (Jeff) Ban, Daniel Abramson, Yiran Zhang CSET/INE 20.03 University of Washington 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Safety Equity in Transportation ELIF Building Room 240, 1760 Tanana Drive 11. Contract or Grant No. Fairbanks, AK 99775-5910 12. Sponsoring Organization Name and Address 13. Type of Report and Period Covered United States Department of Transportation Final report, 04/01/18 – 12/31/19 Research and Innovative Technology Administration 14. -
Transportation Analysis Report
Coastal Bend Study Area Hurricane Evacuation Study Transportation Analysis Report Prepared by Texas A&M Transportation Institute and Texas A&M Hazard Reduction & Recovery Center The Texas A&M University System May 2020 Coastal Bend Study Area Hurricane Evacuation Study Coastal Bend Study Area Hurricane Evacuation Study Transportation Analysis Report Prepared by: Texas A&M Transportation Institute The Texas A&M University System 3135 TAMU College Station, TX 77843-3135 (713) 686-2971 Hazard Reduction & Recovery Center College of Architecture Texas A&M University College Station, TX 77843-3137 (979) 845-7813 Date: May 30, 2020 Authors: James A. (Andy) Mullins III Texas A&M Transportation Institute Darrell W. Borchardt, P.E. Texas A&M Transportation Institute David H. Bierling, PhD Texas A&M Transportation Institute and Hazard Reduction & Recovery Center Walter Gillis Peacock, PhD Hazard Reduction & Recovery Center Douglas F. Wunneburger, PhD Hazard Reduction & Recovery Center Alexander Abuabara Hazard Reduction & Recovery Center ACKNOWLEDGEMENT This project was sponsored by the United States Department of Defense. The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the position or policy of the government, and no official endorsement should be inferred. To Cite This Report: Mullins, J.A., III; Borchardt, D.W.; Bierling, D.H.; Peacock, W.G.; Wunneburger, D.F.; Abuabara, A. (2020). Coastal Bend Hurricane Evacuation Study: Transportation Analysis Report. Texas A&M Transportation Institute and the Texas A&M Hazard Reduction & Recovery Center. College Station, Texas. Available electronically from https://hdl.handle.net/1969.1/188204.