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Fundamental Difference between Urban People Movement and Urban Goods Movement. People Movement Largely single origin-destination Urban Goods Movement Largely “tours” consisting of many linked and usually clustered customer trips covering a day’s work. To/From Cluster & Between Customers.
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Fundamental Difference between Urban People Movement and Urban Goods Movement • People Movement • Largely single origin-destination • Urban Goods Movement • Largely “tours” consisting of many linked and usually clustered customer trips covering a day’s work. • To/From Cluster & Between Customers. • Customer often specifies time window for service Customers Warehouse
Objective of Pilot Test • Characterize Manhattan Goods Movement Congestion By Time-of-Day (ToD) • Key aspect is “expected travel time” by location by ToD • Use normalized concept of “Average Speed” by Activity: • Access to/from Manhattan • Travel between customers in Manhattan • Receivers tend to be “buyers” of the goods • They substantially influence when the goods are delivered • Implication: • Value pricing should be focused on the Receiver!! • Place incentives on Receivers for off-peak receipts of goods! • Place dis-incentives on Receivers for peak hour receipt of goods!
Quantifying ToD and Spatial Congestion • Method: • Focused on using GPS to objectively measure the performance of the of the urban freight system • Gather frequent (~ every 5 seconds) GPS “Breadcrumb” data: ID, Position, Velocity, Date, Time • Analytically segregate customer stop activity from movement activity • Must be done accurately: • Congestion can look like a customer stop • A customer stop can look like congestion
GPS Data System • Zinc II WinMobileSmartPhone w T*Mobile cellular data com running CoPilot Live satNav software • Live updates every 5 seconds on web • Easy data availability to research team, shipper and receiver • Backup data archived every second on SmartPhone • Ability to send stop list and messages to driver • Relatively inexpensive • $300 hardware, $50 software, $40/month short term data plan
GPS Challenges in NY Met Area • Worst “urban canyon” in US • Position can drift substantially (to parallel street) • Severe congestion can look like drift • GPS is least accurate in speed and heading at low speeds • No GPS in Tunnels • Substantial scatter and noise in both position, speed and heading in: • GWB, especially lower level, • Under elevated transit and expressways
Preliminary Results from Two Carrier • Baldor Specialty Foods • New Deal Logistics (NDL)
Pilot Test:Remote Sensing of Off-Peak Deliveries:BaldorSpecialty Preliminary Results 5 Trucks from Nov 1 through Dec 2, 2009 Alain L. Kornhauser Dec 4, 2009
<7mph 7-20 20-35 35-45 >45 Baldor Total (5 trucks) Nov 1 to Dec 2, 2009 Speed Color-coded
Baldor Truck #1120 Nov 1 to Dec 2, 2009 Speed Color-coded <7mph 7-20 20-35 35-45 >45
Baldor Truck #1120 Tour on 11/19/09 2:21:05 to 12:6:43 Segment Color-coded
Baldor Truck #1120 Tour on 11/19/09 2:21:05 to 12:6:43 Speed Color-coded Average Speed 8.5 mph <7mph 7-20 20-35 35-45 >45
Baldor (5 Trucks) Nov 1 to Dec 2, 2009 Speed Color-coded <7mph 7-20 20-35 35-45 >45 • 1st & last trip segment fr/to Hunts Point • Connecticut: 33.4 mph • Long Island: 13.6 mph • New Jersey: 24.2 mph • Manhattan : 13.6 mph
<7mph 7-20 20-35 35-45 >45 Baldor Truck #931 Nov 1 to Dec 2, 2009 Speed Color-coded
Baldor Truck #1040 Nov 1 to Dec 2, 2009 Speed Color-coded <7mph 7-20 20-35 35-45 >45
Pilot Test:Remote Sensing of Off-Peak Deliveries:New Deal LogisticsPreliminary Results Initial use of 4 CoPilot | Live SmartPhones from Oct 2 through Oct 14, 2009 Alain L. Kornhauser Oct 19, 2009
NDL Total ; Speed Color-coded <7mph 7-20 20-35 35-45 >45
<7mph 7-20 20-35 35-45 >45 NDL2; Speed:
<7mph 7-20 20-35 35-45 >45 NDL2; Speed:
<7mph 7-20 20-35 35-45 >45 NDL2; Speed:
<7mph 7-20 20-35 35-45 >45
<7mph 7-20 20-35 35-45 >45
<7mph 7-20 20-35 35-45 >45
<7mph 7-20 20-35 35-45 >45
<7mph 7-20 20-35 35-45 >45
Average Stop–Stop Speeds (MPH) by Time-of-Day for Major Tour SegmentsPreliminary results from Pilot Test (Oct 2- Oct 14, 2009)