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Smart and Connected Transport - A Case Study of Delhi Sanjiv N. Sahai Managing Director and CEO Delhi Integrated Multi-Modal Transit System Limited
Structure of the Presentation Current Transportation Situation in Delhi What is Smart Transportation System and how can it help deliver Integrated Public Transport Network 2021? Integrated Multi-modal Public Transport Network-2021 Connected Bus Transportation System in Delhi  Conclusion
Private Travel Demand Rising in Delhi As of June 30 th  2009 more than 6.0 million vehicles were registered in Delhi, equivalent to the total number in Kolkata, Mumbai and Chennai. Two Wheelers Car/ Taxis Buses and Heavy Vehicles TSR Source: Transport Department, GNCTD
Traffic Condition in Delhi Cars and two-wheelers together drive less than 20% of its people -- and yet roads are choked.  (Source: CSE) Courtesy: Flickers
Source: RITES Transport Demand Forecast Study - without walk Trips (2007-08) Screen Line Locations – Volume Capacity Ratios (Figures in Percent)  Mid Blocks – Volume Capacity Ratios (Figures in Percent)  100% = 33 Screen Line Locations 100% = 26 Mid Blocks Less than or equal to  1 24% Between 1 and 2 61% More than 2 15% Less than or equal to  1 35% Between 1 and 2 54% More than 2 12% Volume Capacity Ratio of roads at key locations in Delhi is more than 1, as per RITES Survey (2008). Volume Capacity Ratios in Delhi RITES is preparing a report “ Transport Demand Forecast Study & Development  of an Integrated Road Cum  Multi-modal Public Transport Network For NCT of Delhi “. It conducted a survey to find out the volume capacity ratios of key locations.
Traditional Problem Solving  The Car Oriented Infrastructure
[object Object],[object Object],[object Object],Road Space as Percentage of Total Area Delhi is developing urban sprawl Delhi Vs. Other World Cities World Cities - Population per sq. km.
Modal Split - % of  Person Trips in Delhi* (Figures in Percent) In last 8 years, Bus ridership has decreased by 17%, whereas number of person trips / day have increased by 22% during the same period. Modal Split in Delhi Source: RITES Transport Demand Forecast Study - without walk Trips (2007-08) ,[object Object],[object Object],2000-01 2007-08
Private Vs. Public ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Private Transport Public Transport
[object Object],[object Object],Planning Requirement  There is an urgent need to augment mass transport facilities to reverse the trend of increasing use of personal vehicles. Source: RITES Transport Demand Forecast Study - without walk Trips (2005)
[object Object],[object Object],[object Object],[object Object],Corridor Identification * Based on World Bank and other studies  Demand-wise Number and Length of Corridors PHPDT Length (in Kms) No. of Corridors Choice of Mode* >25,000 93 4 Metro 20,000-25,000 57 4 Elevated LRT 15,000-20,000 131 8 At grade LRT 10,000-15,000 179 13 At grade BRT / Elevated Monorail 5,000-10,000 115 14 At grade BRT Total 575 43
Transport Demand Forecast Study 2008 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BAKHTAWARPUR KARAWAL NAGAR CHILLA RAJOKARI KHAIRA GOPALNAGAR IBRAHIMPUR NAJAFGARH CHHAWLA DILSHAD GARDEN AIRPORT ISBT BADARPUR  TO GURGAON DELHI BORDER  (BAHADURGARH) KANJHAWALA BAWANA TO NOIDA ANAND VIHAR ISBT  (TO VAISHALI) GOKALPURI MUKUNDPUR ROHINI SEC-21 MUNDKA DABRI MOD DWARKA JASOLA AMBEDKAR NAGAR VASANT KUNJ MEHRAULI KAPASHERA GULABIBAGH IG STADIUM DHAULAKUAN CENTRAL SECTT NARELA RAJEEV CHOWK KALINDI KUNJ JASOLA PUTHKHURD ARJANGARH  (TO GURGAON) KONDALI Recommended Integrated Public Transport Network Approximate Cost – Rs. 462.7 Billion METRO MONORAIL BRT INTERCHANGE
Progress to date * Inclusive of  Civil work of Airport Express line. Source: Delhi Metro Investment focus on one mode of public transport and minor investment in other modes. Mode Length (Kms) Budget (in Rs.) Metro – Phase I 65.1 Kms Rs. 105. 7 billion  Metro – Phase II 128.0 Kms Rs. 190.0 billion* BRT – First Corridor 14.5 Kms Rs.  2.0 billion
Missing Link… ,[object Object],[object Object],[object Object],[object Object],[object Object],Both reducing demand for ‘hard’ infrastructure and saving money Public Transport trips are multi-modal, usually involve non-motorized travel at either end of the journey.
More Effective in Tackling New Challenges Possible Impact on CO2(woodcock J et al, Lancet, 2009) BAU - Business-as-usual LCD – Low Carbon Development AT – Active Transport (Cycle and Walk) ST – Sustainable Transport (LDC + AT) London Delhi Aggregate Transport CO2 Emissions (tonnes) Transport CO2 Emissions Per Person (tCO2/ person) CO2 Emissions Reduction on 1990 (%) Aggregate Transport CO2 Emissions Transport CO2 Emissions Per Person (tCO2/ person) CO2 Emissions Increase on 1990 (%) 2006 London 2004 Delhi 9,647,900 1.3 -2.50% 6,146,651 0.4 97% 2010 BAU 9,935,897 1.3 0% 8,268,298 0.5 165% 2030 Scenario 1 BAU 10,381,318 1.2 4.80% 19,550,693 0.8 526% 2030 Scenario 2 LCD 6,480,565 0.7 -39% 17,069,668 0.7 447% 2030 Scenario 3 AT 6,120,306 0.7 -43% 10,458,736 0.4 235% 2030 Scenario 4 ST 3,608,226 0.4 -65% 9,327,207 0.4 199% London Population Delhi Population 2006 = 7.5m 2004 = 14.8m 2030 = 9.0m 2030 = 26.0m
‘ Smart’ and ‘Connected’ Transport ,[object Object],[object Object],[object Object],[object Object],[object Object]
Smart and Connected Approaches ,[object Object],[object Object],[object Object],[object Object],Supply Side Enhancement Demand Side Management TO IMPROVE TRANSPORT
What is Smart Transportation System Automated Vehicle Location System Automated Fare Collection System Intelligent Signaling System Parking Information System Real-Time Traffic Information System Real-time Monitoring System Interactive journey planner for all modes Car Sharing Cycle Sharing Systems
Smart Connected Benefits ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rationalize and Optimize Resources Resource Requirement With the distribution of traffic, the deployment of resources will be rationalized at the operator level, compared to resource deployment as per peak hour demand. Time Peak Hour Demand Distributed Demand
Real-time Passenger Information System ,[object Object],[object Object],[object Object],GPS Tracking System GPS GPRS Bus Remote Location  Data Center Communication Network GPRS Modem GIS / Vehicle Data Base GIS Web Server Internet User tracks vehicles on the Web from anywhere anytime
Real-time Bus Information - BQS
Real-time Bus Information - SMS <TRAKO   PIS   Chirag Delhi> 419DN-2,  522UP-6, 419UP-7,  419ACUP-14,   423ACDN – 28 mins Info by DIMTS Mobile user needs to send simple message: TRAKO <SPACE> PIS <SPACE> BUS STOP NAME to   54545   (You will instantly receive a SMS response: Next Bus at Bus Stop for Route Number expected in ‘X’ minutes)
Real-time Bus Information - Online www.dimts.in
[object Object],Automated Fare Collection System DMRC System COMMUNICATIONS Central System (CCHS) DTC Private Buses Delhi Transport Corporation
Automatic Fare Collection System - Delhi ,[object Object],[object Object],DIMTS, in partnership with Transport Department and DTC, introduced the AFCS in November 2009 on pilot basis.
Benefits ,[object Object],[object Object],[object Object]
Intelligent Signaling System ,[object Object],[object Object],[object Object]
Benefits to the Commuters ,[object Object],[object Object],[object Object]
Operations Control Centre DIMTS is setting up a Operations Control Centre, which will be the key hub for all bus-based transportation activity.
Future Plans VMS (Variable Messaging System) Congestion Pricing On-Demand Autorickshaw GreenCAB - Dial-a-Rickshaw Facility
VMS (Variable Messaging System) Congestion Ahead ,[object Object],[object Object],[object Object],DIMTS is currently finalizing the proposal to install VMS in Delhi.
Congestion Pricing Delhi Government is currently thinking to introduce congestion pricing as a means of managing travel demand on certain roads in Delhi.  ,[object Object],[object Object],Singapore – Electronic Road Pricing
On-Demand Autorickshaw ,[object Object],[object Object],[object Object],Transport Department, GNCTD will install GPS-based Vehicle Tracking System in all 55,000 auto rickshaw in the city and will establish a call-centre facility.
GreenCAB - Dial-a-Rickshaw Facility ,[object Object],[object Object],[object Object],DIMTS  is planning to introduce Dial-a-Rickshaw facility “GreenCAB” as a feeder service for the commuters along the BRT Corridor.
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 

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Smart and Connected Transport - A Case Study of Delhi

  • 1. Smart and Connected Transport - A Case Study of Delhi Sanjiv N. Sahai Managing Director and CEO Delhi Integrated Multi-Modal Transit System Limited
  • 2. Structure of the Presentation Current Transportation Situation in Delhi What is Smart Transportation System and how can it help deliver Integrated Public Transport Network 2021? Integrated Multi-modal Public Transport Network-2021 Connected Bus Transportation System in Delhi Conclusion
  • 3. Private Travel Demand Rising in Delhi As of June 30 th 2009 more than 6.0 million vehicles were registered in Delhi, equivalent to the total number in Kolkata, Mumbai and Chennai. Two Wheelers Car/ Taxis Buses and Heavy Vehicles TSR Source: Transport Department, GNCTD
  • 4. Traffic Condition in Delhi Cars and two-wheelers together drive less than 20% of its people -- and yet roads are choked. (Source: CSE) Courtesy: Flickers
  • 5. Source: RITES Transport Demand Forecast Study - without walk Trips (2007-08) Screen Line Locations – Volume Capacity Ratios (Figures in Percent) Mid Blocks – Volume Capacity Ratios (Figures in Percent) 100% = 33 Screen Line Locations 100% = 26 Mid Blocks Less than or equal to 1 24% Between 1 and 2 61% More than 2 15% Less than or equal to 1 35% Between 1 and 2 54% More than 2 12% Volume Capacity Ratio of roads at key locations in Delhi is more than 1, as per RITES Survey (2008). Volume Capacity Ratios in Delhi RITES is preparing a report “ Transport Demand Forecast Study & Development of an Integrated Road Cum Multi-modal Public Transport Network For NCT of Delhi “. It conducted a survey to find out the volume capacity ratios of key locations.
  • 6. Traditional Problem Solving The Car Oriented Infrastructure
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  • 13. BAKHTAWARPUR KARAWAL NAGAR CHILLA RAJOKARI KHAIRA GOPALNAGAR IBRAHIMPUR NAJAFGARH CHHAWLA DILSHAD GARDEN AIRPORT ISBT BADARPUR TO GURGAON DELHI BORDER (BAHADURGARH) KANJHAWALA BAWANA TO NOIDA ANAND VIHAR ISBT (TO VAISHALI) GOKALPURI MUKUNDPUR ROHINI SEC-21 MUNDKA DABRI MOD DWARKA JASOLA AMBEDKAR NAGAR VASANT KUNJ MEHRAULI KAPASHERA GULABIBAGH IG STADIUM DHAULAKUAN CENTRAL SECTT NARELA RAJEEV CHOWK KALINDI KUNJ JASOLA PUTHKHURD ARJANGARH (TO GURGAON) KONDALI Recommended Integrated Public Transport Network Approximate Cost – Rs. 462.7 Billion METRO MONORAIL BRT INTERCHANGE
  • 14. Progress to date * Inclusive of Civil work of Airport Express line. Source: Delhi Metro Investment focus on one mode of public transport and minor investment in other modes. Mode Length (Kms) Budget (in Rs.) Metro – Phase I 65.1 Kms Rs. 105. 7 billion Metro – Phase II 128.0 Kms Rs. 190.0 billion* BRT – First Corridor 14.5 Kms Rs. 2.0 billion
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  • 16. More Effective in Tackling New Challenges Possible Impact on CO2(woodcock J et al, Lancet, 2009) BAU - Business-as-usual LCD – Low Carbon Development AT – Active Transport (Cycle and Walk) ST – Sustainable Transport (LDC + AT) London Delhi Aggregate Transport CO2 Emissions (tonnes) Transport CO2 Emissions Per Person (tCO2/ person) CO2 Emissions Reduction on 1990 (%) Aggregate Transport CO2 Emissions Transport CO2 Emissions Per Person (tCO2/ person) CO2 Emissions Increase on 1990 (%) 2006 London 2004 Delhi 9,647,900 1.3 -2.50% 6,146,651 0.4 97% 2010 BAU 9,935,897 1.3 0% 8,268,298 0.5 165% 2030 Scenario 1 BAU 10,381,318 1.2 4.80% 19,550,693 0.8 526% 2030 Scenario 2 LCD 6,480,565 0.7 -39% 17,069,668 0.7 447% 2030 Scenario 3 AT 6,120,306 0.7 -43% 10,458,736 0.4 235% 2030 Scenario 4 ST 3,608,226 0.4 -65% 9,327,207 0.4 199% London Population Delhi Population 2006 = 7.5m 2004 = 14.8m 2030 = 9.0m 2030 = 26.0m
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  • 19. What is Smart Transportation System Automated Vehicle Location System Automated Fare Collection System Intelligent Signaling System Parking Information System Real-Time Traffic Information System Real-time Monitoring System Interactive journey planner for all modes Car Sharing Cycle Sharing Systems
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  • 21. Rationalize and Optimize Resources Resource Requirement With the distribution of traffic, the deployment of resources will be rationalized at the operator level, compared to resource deployment as per peak hour demand. Time Peak Hour Demand Distributed Demand
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  • 24. Real-time Bus Information - SMS <TRAKO PIS Chirag Delhi> 419DN-2, 522UP-6, 419UP-7, 419ACUP-14, 423ACDN – 28 mins Info by DIMTS Mobile user needs to send simple message: TRAKO <SPACE> PIS <SPACE> BUS STOP NAME to 54545 (You will instantly receive a SMS response: Next Bus at Bus Stop for Route Number expected in ‘X’ minutes)
  • 25. Real-time Bus Information - Online www.dimts.in
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  • 31. Operations Control Centre DIMTS is setting up a Operations Control Centre, which will be the key hub for all bus-based transportation activity.
  • 32. Future Plans VMS (Variable Messaging System) Congestion Pricing On-Demand Autorickshaw GreenCAB - Dial-a-Rickshaw Facility
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Notes de l'éditeur

  1. With more roads, less density, rising incomes it is not surprising that vehicle numbers are increasing
  2. Give latest data from RITES – 44% of locations examined by RITES traffic exceeds capacity and in another 19% it was verging on exceeding capacity
  3. May 8, 2010
  4. Metro (Underground) – Rs. 3.5 billion per km (44 kms) Metro (Elevated) – Rs. 1.5 billion per km (104 kms) Mono Rail – Rs. 1.5 billion per km (40.3 kms) BRT – Rs. 0.2 billion per km (394.9 kms)
  5. Controlling Demand Diffusing Demand Managing assets working more efficiently.
  6. SCOOT - Split Cycle Offset Optimisation Technique
  7. Scoot -